Class Hierarchy

Go to the graphical class hierarchy

This inheritance list is sorted roughly, but not completely, alphabetically:

[detail level 12345]

Cpm_complexAbs::abs	Generate and return the component-wise absolute value of (both real and imaginary parts of) the input complex
►Cpm_sampleACT::act_type
Cpm_sampleACT::batchMeansMax_type
Cpm_sampleACT::batchMeans_type
Cpm_sampleACT::cumSumMax_type
Cpm_sampleACT::cumSum_type
►Cpm_array::action_type	This is an abstract derived type for constructing concrete derived types to distinguish various procedure signatures that require different forms of operation (reverse, inverse, ...).
Cpm_array::inverse_type	This is a concrete derived type whose instances are exclusively used to request reversal of a given array within an interface of a procedure of the ParaMonte library.
Cpm_array::nothing_type	This is a concrete derived type whose instances are exclusively used to request no action on a given array within an interface of a procedure of the ParaMonte library.
Cpm_array::reverse_type	This is a concrete derived type whose instances are exclusively used to request reversal of a given array within an interface of a procedure of the ParaMonte library.
Cpm_array::allocatable_type	This is a concrete derived type whose instances are exclusively used to signify that an array of arbitrary rank has the allocatable attribute.
Cpm_container::assignment(=)	Assign the contents of the input source to the output destin
Cpm_bench::bench_typer	Construct and return an object of type bench_type
►Cpm_bench::benchBase_type	This is the base class for creating low-level benchmark objects
Cpm_bench::bench_type	This is the class for creating benchmark and performance-profiling objects
Cpm_bench::benchBase_typer	Construct and return an object of type benchBase_type
Cpm_bench::benchMulti_type	This is the class for creating object to perform multiple benchmarks and performance-profiling
Cpm_bench::benchMulti_typer	Construct, perform multiple benchmarking, and return the multiple benchmarking results as an object of type benchMulti_type
Cpm_blas::blasGEMM	Return the result of the multiplication of two input General matrices matA and matB added to a third General matrix matC
Cpm_blas::blasGEMV	Return the result of the multiplication of a General matrix matA in Rectangular Default packing format with a vector/column-like matrix matB, added to a third vector/column-like matrix matC.
Cpm_blas::blasHEMM	Return the result of the multiplication of two input Hermitian-General/General-Hermitian matrices matA and matB added to a third General matrix matC
Cpm_blas::blasHEMV	Return the result of the multiplication of a Hermitian matrix matA in Rectangular Default packing format with a vector/column-like matrix matB, added to a third vector/column-like matrix matC.
Cpm_blas::blasHERK	Return the Rank-K Update of a Complex Hermitian matrix.
Cpm_blas::blasHPMV	Return the result of the multiplication of a Hermitian matrix matA in Linear Full Packed format with a vector/column-like matrix matB, added to a third vector/column-like matrix matC.
Cpm_blas::blasSPMV	Return the result of the multiplication of a Symmetric matrix matA in Linear Full Packed format with a vector/column-like matrix matB, added to a third vector/column-like matrix matC.
Cpm_blas::blasSWAP	Interchange the elements of vectors x and y.
Cpm_blas::blasSYMM	Return the result of the multiplication of two input Symmetric-General/General-Symmetric matrices matA and matB added to a third General matrix matC
Cpm_blas::blasSYMV	Return the result of the multiplication of a Symmetric matrix matA in Rectangular Default packing format with a vector/column-like matrix matB, added to a third vector/column-like matrix matC.
Cpm_blas::blasSYRK	Return the Rank-K Update of a Real or Complex Symmetric or a Complex Hermitian matrix.
Cpm_blas::blasTRMM	Return the result of the triangular/general matrix multiplication, using scalar alpha, rectangular general matrix B, and triangular matrix A or its Symmetric/Hermitian transpose.
Cpm_blas::blasTRMV	Return the following matrix-vector products, using the vector x and triangular matrix A or its transpose:
Cpm_blas::blasTRSM	Return the solution to a triangular system of equations with multiple right-hand sides, using scalar alpha, rectangular general matrix B, and triangular matrix A or its Symmetric/Hermitian transpose.
Cpm_blas::blasTRSV	Return the following matrix-vector products, using the vector x and triangular matrix A or its transpose:
►Cpm_array::border_type	This is an abstract derived type for constructing concrete derived types to distinguish various procedure signatures that require different sequence border patterns (e.g., adjacent (contiguous), discrete, ...).
Cpm_array::adjacent_type	This is a concrete derived type whose instances are exclusively used to signify the adjacent sequence border within an interface of a procedure of the ParaMonte library.
Cpm_array::discrete_type	This is a concrete derived type whose instances are exclusively used to signify the discrete sequence border within an interface of a procedure of the ParaMonte library.
Cpm_container::ccc_pdt	This is the parameterized derived type for generating a container of a cube component of type complex of arbitrary kind
Cpm_container::ccc_type	This is the derived type for generating a container of a cube component of type complex of default kind CK.
Cpm_container::cci_pdt	This is the parameterized derived type for generating a container of a cube component of type integer of arbitrary kind
Cpm_container::cci_type	This is the derived type for generating a container of a cube component of type integer of default kind IK.
Cpm_container::ccl_pdt	This is the parameterized derived type for generating a container of a cube component of type logical of arbitrary kind
Cpm_container::ccl_type	This is the derived type for generating a container of a cube component of type logical of default kind LK.
Cpm_container::ccp_type	This is the derived type for generating a container of a cube component of type unlimited polymorphic.
Cpm_container::ccr_pdt	This is the parameterized derived type for generating a container of a cube component of type real of arbitrary kind
Cpm_container::ccr_type	This is the derived type for generating a container of a cube component of type real of default kind RK.
Cpm_container::ccs_pdt	This is the parameterized derived type for generating a container of a cube component of type character of arbitrary kind of allocatable length
Cpm_container::ccs_type	This is the derived type for generating a container of a cube component of type character of default kind SK of arbitrary length type parameter.
Cpm_container::cmc_pdt	This is the parameterized derived type for generating a container of a matrix component of type complex of arbitrary kind
Cpm_container::cmc_type	This is the derived type for generating a container of a matrix component of type complex of default kind CK.
Cpm_container::cmi_pdt	This is the parameterized derived type for generating a container of a matrix component of type integer of arbitrary kind
Cpm_container::cmi_type	This is the derived type for generating a container of a matrix component of type integer of default kind IK.
Cpm_container::cml_pdt	This is the parameterized derived type for generating a container of a matrix component of type logical of arbitrary kind
Cpm_container::cml_type	This is the derived type for generating a container of a matrix component of type logical of default kind LK.
Cpm_container::cmp_type	This is the derived type for generating a container of a matrix component of type unlimited polymorphic.
Cpm_container::cmr_pdt	This is the parameterized derived type for generating a container of a matrix component of type real of arbitrary kind
Cpm_container::cmr_type	This is the derived type for generating a container of a matrix component of type real of default kind RK.
Cpm_container::cms_pdt	This is the parameterized derived type for generating a container of a matrix component of type character of arbitrary kind of allocatable length
Cpm_container::cms_type	This is the derived type for generating a container of a matrix component of type character of default kind SK of arbitrary length type parameter.
►Cpm_control::control_type	This is an abstract derived type for constructing concrete derived types to distinguish various procedure signatures that require different forms of iterations (e.g., looping, recursion, ...).
Cpm_control::iteration_type	This is a concrete derived type whose instances are exclusively used to request looping procedure interfaces within the generic interfaces of the ParaMonte library.
Cpm_control::recursion_type	This is a concrete derived type whose instances are exclusively used to request recursive procedure interfaces within the generic interfaces of the ParaMonte library.
Cpm_control::selection_type	This is a concrete derived type whose instances are exclusively used to request selection control flow within the generic interfaces of the ParaMonte library.
Cpm_control::sequence_type	This is a concrete derived type whose instances are exclusively used to request sequence control flow within the generic interfaces of the ParaMonte library.
►Cpm_sampleCor::corcoef_type	This is an abstract derived type for constructing concrete derived types to distinguish various procedure signatures that require different correlation coefficients (e.g., pearson, spearman, kendall, ...).
►Cpm_sampleCor::kendall_type	This is a concrete derived type whose instances are exclusively used to signify the kendall type of correlation coefficients.
Cpm_sampleCor::kendallA_type	This is a concrete derived type whose instances are exclusively used to signify the kendallA type of correlation coefficients.
Cpm_sampleCor::kendallB_type	This is a concrete derived type whose instances are exclusively used to signify the kendallB type of correlation coefficients.
Cpm_sampleCor::pearson_type	This is a concrete derived type whose instances are exclusively used to signify the pearson type of correlation coefficients.
Cpm_sampleCor::spearman_type	This is a concrete derived type whose instances are exclusively used to signify the spearman type of correlation coefficients.
Cpm_container::csc_pdt	This is the csc_pdt parameterized type for generating instances of container of scalar of complex objects of kind any supported by the processor (e.g., CK, CK32, CK64, or CK128).
Cpm_container::csc_type	This is the csc_type type for generating instances of container of scalar of logical objects.
Cpm_container::csi_pdt	This is the csi_pdt parameterized type for generating instances of container of scalar of integer objects of kind any supported by the processor (e.g., IK, IK8, IK16, IK32, or IK64).
Cpm_container::csi_type	This is the csi_type type for generating instances of container of scalar of integer objects.
Cpm_container::csl_pdt	This is the csl_pdt parameterized type for generating instances of container of scalar of logical objects of kind any supported by the processor (e.g., LK).
Cpm_container::csl_type	This is the csl_type type for generating instances of container of scalar of logical objects.
Cpm_container::csp_type	This is the csp_type type for generating instances of container of scalar unlimited polymorphic objects.
Cpm_container::csr_pdt	This is the csr_pdt parameterized type for generating instances of container of scalar of real objects of kind any supported by the processor (e.g., RK, RK32, RK64, or RK128).
Cpm_container::csr_type	This is the csr_type type for generating instances of container of scalar of logical objects.
Cpm_container::css_pdt	This is the css_pdt parameterized type for generating instances of container of scalar of string objects of kind any supported by the processor (e.g., SK, SKA, SKD , or SKU).
Cpm_container::css_type	This is the css_type type for generating instances of container of scalar of string objects.
Cpm_container::cvc_pdt	This is the parameterized derived type for generating a container of an allocatable vector component of type complex of arbitrary kind
Cpm_container::cvc_type	This is the derived type for generating a container of a vector component of type complex of default kind CK.
Cpm_container::cvi_pdt	This is the parameterized derived type for generating a container of a vector component of type integer of arbitrary kind
Cpm_container::cvi_type	This is the derived type for generating a container of a vector component of type integer of default kind IK.
Cpm_container::cvl_pdt	This is the parameterized derived type for generating a container of an allocatable vector component of type logical of arbitrary kind
Cpm_container::cvl_type	This is the derived type for generating a container of a vector component of type logical of default kind LK.
Cpm_container::cvp_type	This is the derived type for generating a container of a vector component of type unlimited polymorphic.
Cpm_container::cvr_pdt	This is the parameterized derived type for generating a container of an allocatable vector component of type real of arbitrary kind
Cpm_container::cvr_type	This is the derived type for generating a container of a vector component of type real of default kind RK.
Cpm_container::cvs_pdt	This is the parameterized derived type for generating a container of a vector component of type character of arbitrary kind of allocatable length
Cpm_container::cvs_type	This is the derived type for generating a container of a vector component of type character of default kind SK of arbitrary length type parameter.
Cpm_dateTime::dateTimeInt_type	This is the derived type containing the components of a numeric date and time in the Gregorian calendar
Cpm_dateTime::dateTimeStr_type	This is the derived type containing the string components that contain numeric date and time in the Gregorian calendar
Cpm_test::dir_type	This is the module private derived type for constructing objects that contain the input and output directory paths for tests
►Cpm_array::direction_type	This is an abstract derived type for constructing concrete derived types to distinguish various procedure signatures that require different forms of operation (reverse, inverse, ...).
Cpm_array::backward_type	This is a concrete derived type whose instances are exclusively used to request reversal of a given array within an interface of a procedure of the ParaMonte library.
Cpm_array::forward_type	This is a concrete derived type whose instances are exclusively used to request reversal of a given array within an interface of a procedure of the ParaMonte library.
Cpm_io::display_type	Generate and return an object of type display_type
Cpm_distBand::distBand_type	This is the derived type for signifying distributions that are of type Band as defined in the description of pm_distBand
Cpm_distBern::distBern_type	This is the derived type for signifying distributions that are of type Bernoulli as defined in the description of pm_distBern
Cpm_distBeta::distBeta_type	This is the derived type for signifying distributions that are of type Beta as defined in the description of pm_distBeta
Cpm_distBinom::distBinom_type	This is the derived type for signifying distributions that are of type Binomial as defined in the description of pm_distBinom
Cpm_distCosRaised::distCosRaised_type	This is the derived type for signifying distributions that are of type Raised Cosine as defined in the description of pm_distCosRaised
Cpm_distExp::distExp_type	This is the derived type for signifying distributions that are of type Exponential as defined in the description of pm_distExp
Cpm_distExpGamma::distExpGamma_type	This is the derived type for signifying distributions that are of type ExpGamma as defined in the description of pm_distExpGamma
Cpm_distGamma::distGamma_type	This is the derived type for signifying distributions that are of type Gamma as defined in the description of pm_distGamma
Cpm_distGenExpGamma::distGenExpGamma_type	This is the derived type for signifying distributions that are of type GenExpGamma as defined in the description of pm_distGenExpGamma
Cpm_distGenGamma::distGenGamma_type	This is the derived type for signifying distributions that are of type GenGamma as defined in the description of pm_distGenGamma
Cpm_distGeom::distGeom_type	This is the derived type for signifying distributions that are of type Geometric as defined in the description of pm_distGeom
Cpm_distGeomCyclic::distGeomCyclic_type	This is the derived type for signifying distributions that are of type Cyclic Geometric as defined in the description of pm_distGeomCyclic
Cpm_distKolm::distKolm_type	This is the derived type for signifying distributions that are of type Kolmogorov as defined in the description of pm_distKolm
Cpm_distLogNorm::distLogNorm_type	This is the derived type for signifying distributions that are of type Lognormal as defined in the description of pm_distLogNorm
Cpm_distLogUnif::distLogUnif_type	This is the derived type for signifying distributions that are of type LogUniform as defined in the description of pm_distLogUnif
Cpm_distMultiNorm::distMultiNorm_type	This is the derived type for signifying distributions that are of type MultiVariate Normal (MVN) as defined in the description of pm_distMultiNorm
Cpm_distNegExp::distNegExp_type	This is the derived type for signifying distributions that are of type Negative Exponential as defined in the description of pm_distNegExp
Cpm_distNorm::distNorm_type	This is the derived type for signifying distributions that are of type Univariate Normal as defined in the description of pm_distNorm
Cpm_distPareto::distPareto_type	This is the derived type for signifying distributions that are of type Pareto as defined in the description of pm_distPareto
Cpm_distPois::distPois_type	This is the derived type for signifying distributions that are of type Poisson as defined in the description of pm_distPois
Cpm_distPower::distPower_type	This is the derived type for signifying distributions that are of type Power as defined in the description of pm_distPower
Cpm_distPoweto::distPoweto_type	This is the derived type for signifying distributions that are of type Poweto as defined in the description of pm_distPoweto
Cpm_distUnif::distUnif_type	This is the derived type for signifying distributions that are of type Uniform as defined in the description of pm_distUnif
Cpm_distUnifEll::distUnifEll_type	This is the derived type for signifying distributions that are of type MultiVariate Uniform Ellipsoid (MVUE) as defined in the description of pm_distUnifEll
Cpm_distUnifElls::distUnifElls_type	This is the derived type for signifying distributions that are of type Multiple MultiVariate Uniform Ellipsoid (MMVUE) as defined in the description of pm_distUnifElls
Cpm_distUnifPar::distUnifPar_type	This is the derived type for signifying distributions that are of type MultiVariate Uniform Parallelepiped (MVUP) as defined in the description of pm_distUnifPar
Cpm_distUnifSphere::distUnifSphere_type	This is the derived type for signifying distributions that are of type MultiVariate Uniform Spherical as defined in the description of pm_distUnifSphere
Cpm_distCov::dvine_type	This the derived type whose instances imply the use of the Dvine algorithm for generating random covariance matrices as described in algorithm of Lewandowski et al. (2009).
Cpm_paramonte::envis_type	This is the derived type for generating objects containing scalar components of type logical named after different programming language environments that are currently or will be supported for access to the ParaMonte library
Cpm_err::err_type	This is the derived type for generating objects to gracefully and verbosely handle runtime unexpected behavior in the ParaMonte library.
Cpm_distanceEuclid::euclid_type	This is a concrete derived type whose instances are exclusively used to request safe method of computing Euclidean distances (without undue overflow or underflow).
Cpm_distanceEuclid::euclidsq_type	This is a concrete derived type whose instances are exclusively used to request computing Euclidean squared-distances (with the possible risk of overflow or underflow).
Cpm_distanceEuclid::euclidu_type	This is a concrete derived type whose instances are exclusively used to request unsafe method of computing Euclidean distances (with the possibility of undue overflow or underflow).
Cpm_distanceEuclid::euclidv_type	This is a concrete derived type whose instances are exclusively used to request computing Euclidean volumes (with the possible risk of overflow or underflow).
Cpm_bench::exec_proc	This is the abstract interface of the exec static type-bound procedure pointer component of bench_type derived type that points to the user-supplied procedure to be timed
Cpm_io::field_type	The derived type that can be used for constructing containers of format or left and right delimiters for the (five) intrinsic Fortran field types
Cpm_test::file_type	This is the module private derived type for constructing objects that contain the path to a file and its unit
Cpm_io::filext_type	This is the derived type for generating objects containing the source file extensions used by different programming language environments
►Cpm_io::form_type	This is an abstract derived type for constructing concrete derived types to distinguish various procedure signatures that require different file forms (e.g., csv, binary, ...).
►Cpm_io::formatted_type	This is a concrete derived type whose instances are exclusively used to signify the formatted file form within an interface of a procedure of the ParaMonte library.
Cpm_io::csv_type	This is a concrete derived type whose instances are exclusively used to signify the CSV file form within an interface of a procedure of the ParaMonte library.
Cpm_io::fld_type	This is a concrete derived type whose instances are exclusively used to signify the Fortran-list-directed file form within an interface of a procedure of the ParaMonte library.
Cpm_io::unformatted_type	This is a concrete derived type whose instances are exclusively used to signify the unformatted (binary) file form within an interface of a procedure of the ParaMonte library.
Cpm_io::unknown_type	This is a concrete derived type whose instances are exclusively used to signify the unknown file form within an interface of a procedure of the ParaMonte library.
►Cpm_mathRootTest::func_type	This is the base type func_type standing abstract function type to generate a variety of function test functions.
Cpm_mathRootTest::func1_type	This is the derived type for generating test function objects of the algebraic form as described below
Cpm_matrixClass::genrecmat_type	This is a concrete derived type whose instances are exclusively used to signify the general rectangular class of a given matrix within an interface of a procedure of the ParaMonte library.
Cpm_math1mexp::get1mexp	Generate and return the expression 1 - exp(x) robustly (without numerical underflow)
Cpm_mathRootTest::get_proc	This is the abstract interface of the get() type-bound procedure of func_type class whose arguments of type real are of the highest precision kind RKH, made available by the processor
Cpm_quadTest::get_proc	This is the abstract interface of the get() type-bound procedure of integrand_type class whose arguments of type real are of the highest precision kind RKH, made available by the processor
Cpm_sampleCCF::getACF	Generate and return the auto-correlation function (ACF) \((f\star f)(\tau)\) of the discrete signal \(f\) lagging itself for a range of lags.
Cpm_sampleACT::getACT	Generate and return the integrated auto-correlation time (ACT) of the discrete signal.
Cpm_io::getAction	Generate and return the action attribute of the input file or unit
Cpm_sampleAffinity::getAffinity	Generate and return an affine-transformation of the input sample of shape (1:ndim) or (1:ndim, 1:nsam) or (1:nsam, 1:ndim) based on the specified values for the translation tlate and tranformations tform along the specified axis dim.
Cpm_strASCII::getAsciiFromEscaped	Generate and return the input C-style escaped string where all instances of C-style escape sequences are converted to the corresponding ASCII characters or left intact if they are not convertible.
Cpm_distBand::getBandEbreak	Generate and return the spectral break energy parameter of the Band spectral model/distribution from the corresponding spectral peak energy \(\epeak\) and the Band model spectral indices \((\alpha, \beta)\).
Cpm_distBand::getBandEpeak	Generate and return the spectral peak energy parameter of the Band spectral model/distribution from the corresponding spectral break energy \(\ebreak\) and the Band model spectral indices \((\alpha, \beta)\).
Cpm_distBand::getBandUDF	Generate and return the unnormalized density function (UDF) of the Band spectral model/distribution.
Cpm_distBand::getBandZeta	Generate and return the coefficient of continuity of the Band spectral model/distribution from the Band model parameters: the break energy \(\ebreak\) and the Band model spectral indices \((\alpha, \beta)\).
Cpm_sysPath::getBaseName	Generate and return the basename part of the input path (i.e., all characters that appear after the last directory separator in the path).
Cpm_distBern::getBernRand	Generate and return a scalar or array of rank 1 of length size or the same rank and size as p of Bernoulli-distributed random values (0 or 1) with probability of getting 1 set by the input success probability p.
Cpm_distBeta::getBetaCDF	Generate and return the CDF of the Beta distribution for the given parameters \((\alpha, \beta)\) as defined in the details section of pm_distBeta
Cpm_mathBeta::getBetaInc	Generate and return the regularized Incomplete Beta Function \(I_x(\alpha, \beta)\) as defined in the details section of pm_mathBeta
Cpm_mathBeta::getBetaInv	Generate and return the regularized Inverse Incomplete Beta Function \(I_x(\alpha, \beta)\) as defined in the details section of pm_mathBeta
Cpm_distBeta::getBetaLogPDF	Generate and return the natural logarithm of the Probability Density Function (PDF) of the Beta distribution for an input x within the support of the distribution \(x \in (0,1)\)
Cpm_distBeta::getBetaPDF	Generate and return the Probability Density Function (PDF) of the Beta distribution for an input x within the support of the distribution \(x \in [0,1]\)
Cpm_arraySearch::getBin	Generate and return bin, the index of the element of the input ascending-ordered array, such that array(bin) <= value < array(bin+1) holds for the input value.
Cpm_distBinom::getBinomCDF	Generate and return the Cumulative Distribution Function (CDF) of the Binomial distribution for an input nsuc within the discrete integer support of the distribution.
Cpm_distBinom::getBinomLogPMF	Generate and return the natural logarithm of the Probability Mass Function (PMF) of the Binomial distribution for an input nsuc within the discrete integer support of the distribution.
Cpm_sampleCCF::getCCF	Generate and return the cross-correlation function (CCF) \((f\star g)(\tau)\) of the discrete signal \(g\) lagging the signal the discrete signal \(f\) for a range of specified lags.
Cpm_arrayCenter::getCentered	Generate and return a resized and centered copy of the input array within the newly allocated arrayCentered and filling the newly added elements (if any) with the user-specified fill.
Cpm_arrayChange::getChange	Generate and return a randomly-uniform selected sequence of elements from a scalar character or integer range specified via the input limits [start, stop].
Cpm_strASCII::getCharLower	Generate and return the input character where the uppercase English alphabet is converted to lowercase letter.
Cpm_str::getCharSeq	Generate and return a scalar string resulting from the concatenation of the individual elements (single-characters) of the input vector of characters.
Cpm_strASCII::getCharUpper	Generate and return the input character where the lowercase English alphabet is converted to uppercase letter.
Cpm_str::getCharVec	Generate and return a vector of single-characters each element of which corresponds to one character in the input scalar string.
Cpm_arrayChoice::getChoice	Select a single (or multiple) element(s) from the input array of intrinsic type of arbitrary kind randomly uniformly or optionally according to the specified Probability Mass Function (PMF) of the input array.
Cpm_distChol::getCholRand	Generate and return a random upper and lower Cholesky factorization.
Cpm_arrayCompact::getCompact	Generate a compact version of the input array where all sequentially duplicate entries along the specified dimension of array are condensed to a single entry in the output compact
Cpm_arrayComplement::getComplement	Generate and return an array of elements of setB that are not in setA
Cpm_arrayComplement::getComplementRange	Generate and return the complement of the input set setA with respect to an array of elements of the sorted set comprised of a range of integer values constructed by the triple start, stop, step
Cpm_val2complex::getComplex	Generate and return the conversion of the input value to a complex value of default kind CK
Cpm_io::getContentsFrom	Generate and return the entire contents of the input unconnected file or the (remaining) contents of an already-connected file associated with the input unit.
Cpm_sampleCor::getCor	Generate and return the (Pearson) correlation coefficient or matrix of a pair of (weighted) time series x(1:nsam) and y(1:nsam) or of an input (weighted) array of shape (ndim, nsam) or (nsam, ndim) where ndim is the number of data dimensions (the number of data attributes) and nsam is the number of data points.
Cpm_arrayInit::getCoreHalo	Generate and return an array of specified rank and shape of arbitrary intrinsic type and kind with its rectangular core and halo set to the corresponding user-specified values.
Cpm_batse::getCorrectionLogEffPPF	Generate and return the correction required for converting an input natural-log peak photon flux in 64ms timescale in the BATSE detection energy range to an effective triggering peak photon flux in the same energy range.
Cpm_distCosRaised::getCosRaisedCDF	Generate and return the Cumulative Distribution Function (CDF) of the Raised Cosine distribution for an input x within the support of the distribution \(x \in [\mu - \sigma, \mu + \sigma]\)
Cpm_distCosRaised::getCosRaisedPDF	Generate and return the Probability Density Function (PDF) of the Raised Cosine distribution for an input x within the support of the distribution \(x \in [\mu - \sigma, \mu + \sigma]\)
Cpm_dateTime::getCountDays	Generate and return the total number of days in the specified year or the month of the year of the Gregorian calendar
Cpm_mathNumSys::getCountDigit	Generate and return the number of digits in the input integer
Cpm_dateTime::getCountLeapYears	Generate and return the number of leap years within the closed year interval [since, until] where since represents the origin year, and until represents a later year after since
Cpm_arrayFind::getCountLoc	Generate and return the number of occurrences of the input pattern in the input array optionally subject to user-specified memory blindness
Cpm_ellipsoid::getCountMemberEll	Generate and return the number of points that are members (i.e., inside) of the specified \(\ndim\)-dimensional ellipsoid.
Cpm_io::getCountRecord	Generate and return the number of records in the entire record-oriented input file
Cpm_io::getCountRecordLeft	Generate and return the number of records left (starting immediately after the last accessed record) in the record-oriented input file
Cpm_dateTime::getCountWeeks	Generate and return the number of weeks in the specified year or the month of the year of the Gregorian calendar whose majority of days fall within the specified year or month
Cpm_sampleCov::getCov	Generate and return the (optionally unbiased) covariance matrix of a pair of (potentially weighted) time series x(1:nsam) and y(1:nsam) or of an input (potentially weighted) array of shape (ndim, nsam) or (nsam, ndim) where ndim is the number of data dimensions (the number of data attributes) and nsam is the number of data points.
Cpm_sampleCov::getCovMerged	Generate and return the merged covariance of a sample resulting from the merger of two separate (potentially weighted) samples \(A\) and \(B\).
Cpm_distCov::getCovRand	Generate and return a random positive-definite (correlation or covariance) matrix using the Gram method.
Cpm_mathCumPropExp::getCumPropExp	Generate and return the cumulative sum of the proportions of the exponential of the input array, optionally in the backward direction and, optionally reverse the output cumulative sum upon return
Cpm_mathCumSum::getCumSum	Generate and return the cumulative sum of the input array, optionally in the backward direction and, optionally reverse the output cumulative sum array upon return
Cpm_dateTime::getDateAfter	Generate and return the date in the Gregorian Calendar that appears after the input date
Cpm_dateTime::getDateBefore	Generate and return the date in the Gregorian Calendar that appears before the input date
Cpm_dateTime::getDateTime	Generate and return the current or the requested date and time as an integer-valued array of size 8 or a formatted string.
Cpm_dateTime::getDateTimeDiff	Generate and return the calendarical difference in days between the two input Gregorian dates octuples (Values1(:) - Values2(:))
Cpm_dateTime::getDateTimeNewZone	Generate and return the current or the requested date and time in the requested time zone newzone (in units of minutes) as an integer-valued array of size 8.
Cpm_dateTime::getDateTimeShifted	Generate and return the current or the requested Gregorian date and time shifted by the specified amount in units of days
Cpm_dateTime::getDateTimeUTC	Generate and return the current or the requested date and time converted to the corresponding Coordinated Universal Time (UTC) as an integer-valued array of size 8
Cpm_mathNumSys::getDecimal	Generate the decimal value corresponding to the input numeral string in the requested base
Cpm_sysPath::getDirCurrent	Generate and return the Current Working Directory (CWD) of the runtime shell.
Cpm_sysPath::getDirHome	Generate and return the Home Directory of the current user in the current runtime shell.
Cpm_sysPath::getDirName	Generate and return the dirname (directory name) part of the input path.
Cpm_sysPath::getDirSep	Generate and return the directory separator symbol based on the runtime system shell.
Cpm_sysPath::getDirSeps	Generate and return all the directory separator symbols supported by the current runtime operating system based on the runtime system shell.
Cpm_cosmology::getDisAngNormed	Generate and return the cosmological Angular Diameter Distance normalized to Hubble Distance, given the user-specified cosmological parameters
Cpm_distanceBhat::getDisBhat	Generate and return the Bhattacharyya distance of two univariate (discrete or continuous) distributions
Cpm_cosmology::getDisComNormed	Generate and return the cosmological line-of-sight Comoving Distance normalized to Hubble Distance, given the user-specified cosmological parameters
Cpm_cosmology::getDisComTransNormed	Generate and return the cosmological Transverse Comoving Distance normalized to Hubble Distance, given the user-specified cosmological parameters
Cpm_cosmology::getDisComTransNormedWU10	Generate and return the approximate to the cosmological Transverse Comoving Distance normalized to Hubble Distance, given the user-specified cosmological parameters with negligible Curvature ( \(\Omega_K\)) and Radiation ( \(\Omega_R\)) density parameters
Cpm_distanceEuclid::getDisEuclid	Generate and return the (squared) Euclidean distance of a (set of) point(s) in ndim-dimensions from a reference point (possibly origin), optionally robustly without underflow or overflow.
Cpm_distanceHellinger::getDisHellSq	Generate and return the square of the Hellinger distance of two univariate (discrete or continuous) distributions
Cpm_distanceKolm::getDisKolm	Generate and return the Kolmogorov distance of a sample1 of size nsam1 from another sample sample2 of size nsam2 or the CDF of the Uniform or a custom reference distribution.
Cpm_cosmology::getDisLookbackNormed	Generate and return the cosmological Lookback Distance (or equivalently, the Lookback Time) at the desired redshift normalized to Hubble Distance (or equivalently, to Hubble Time), given the user-specified cosmological parameters
Cpm_cosmology::getDisLumNormed	Generate and return the cosmological Luminosity Distance normalized to Hubble Distance, given the user-specified cosmological parameters
Cpm_distanceMahal::getDisMahalSq	Generate and return the square of the Mahalanobis distance of a (set of npnt) point(s) from a single (or a set of nsam independent) sample(s) characterized by a (set of) Multivariate Normal (MVN) distribution(s) in ndim dimensions
Cpm_distanceEuclid::getDisMatEuclid	Return the full or a subset of the Euclidean (squared) distance matrix of the input set of npnt points in ndim dimensions
Cpm_complexDiv::getDiv	Generate and return the complex division of the two input complex values robustly without potential overflow caused by the computing the modulus of the divisor in the denominator of the result.
Cpm_mathSum::getDot	Generate and return the expression dot_product(x, y) accurately (almost without roundoff error).
Cpm_distEggBox::getEggBoxLogUDF	Generate and return the natural logarithm of the EggBox density function at the specified input point X
Cpm_mathErf::getErfInv	Generate and return the Inverse Error Function \(\ms{erf}^{-1}(x)\) for an input real value in range \((-1, +1)\) as defined in the details section of pm_mathErf
Cpm_sampling::getErrSampling	Generate and return .true. if the procedure fails to fully accomplish the task of Monte Carlo sampling of the specified input mathematical objective function, otherwise, return .false..
Cpm_io::getErrTableRead	Generate and return the iostat code resulting from reading the contents of the specified file or unit into an output table.
Cpm_io::getErrTableWrite	Generate and return the iostat code resulting from writing the input table of rank 1 or 2 to the specified output.
Cpm_distExp::getExpCDF	Generate and return the Cumulative Distribution Function (CDF) of the Exponential distribution for an input x within the support of the distribution \([\mu, +\infty)\)
Cpm_distExpGamma::getExpGammaCDF	Generate and return the Cumulative Distribution Function (CDF) of the ExpGamma distribution for an input x within the support of the distribution \(x \in (-\infty,+\infty)\)
Cpm_distExpGamma::getExpGammaLogPDF	Generate and return the natural logarithm of the Probability Density Function (PDF) of the ExpGamma distribution
Cpm_distExpGamma::getExpGammaLogPDFNF	Generate and return the natural logarithm of the normalization factor of the Probability Density Function (PDF) of the ExpGamma distribution.
Cpm_distExp::getExpLogPDF	Generate and return the natural logarithm of the Probability Density Function (PDF) of the Exponential distribution for an input x within the support of the distribution \([\mu, +\infty)\)
Cpm_mathExp::getExpNext	Generate the next integer exponent expNext for the specified input base and absolute value absx = abs(x) such that the condition absx <= base**expNext holds
Cpm_mathExp::getExpPrev	Generate the previous integer exponent expPrev for the specified input base and absolute value absx = abs(x) such that the condition base**expPrev <= absx holds
Cpm_distExp::getExpRand	Return a scalar (or array of arbitrary rank of) random value(s) from the Exponential distribution, optionally with the specified input location and scale parameters mu, sigma.
Cpm_sysPath::getExtName	Generate and return the file extension part of the input path (including the leading dot in the file extension).
Cpm_polation::getExtrap	Generate and return the approximate polynomial interpolation/extrapolation value of the input specified point x for the specified method
Cpm_fftpack::getFactorFFT	Generate and return the factorization vector factor of the specified input sequence length and the corresponding vector of trigonometric coefficients coef.
Cpm_mathFactorial::getFactorial	Generate and return the factorial of the input positive integer
Cpm_mathFactoring::getFactoring	Generate and return the factoring of the input positive integer
Cpm_fftnr::getFFTF	Generate and return the Forward Fourier Transform (a.k.a. Fourier Analysis) of a periodic sequence of type complex or real of arbitrary kind parameter
Cpm_fftpack::getFFTF	Generate and return the Forward Fourier Transform (a.k.a. Fourier Analysis) of a periodic sequence of type complex or real of arbitrary kind type parameter
Cpm_fftnr::getFFTI	Generate and return the Inverse (normalized by 2 / size(data)) Fourier Transform of a periodic sequence of type complex or real of arbitrary kind parameter
Cpm_fftpack::getFFTI	Generate and return the Inverse (normalized) Fourier Transform of a periodic sequence of type complex or real of arbitrary kind type parameter
Cpm_fftnr::getFFTR	Generate and return the Reverse (unnormalized) Fourier Transform of a periodic sequence of type complex or real of arbitrary kind parameter
Cpm_fftpack::getFFTR	Generate and return the Reverse (unnormalized) Fourier Transform of a periodic sequence of type complex or real of arbitrary kind type parameter
Cpm_io::getFieldSep	Generate and return the best-guess field separator of a (sequential-access) file stored in the input file
Cpm_err::getFile	Generate and return a decorated string as "@file(FILE)" where FILE is replaced by the input source file of interest.
Cpm_sysPath::getFileName	Generate and return the filename part of the input path.
Cpm_arrayFill::getFilled	Generate and return an array of the specified rank and shape of arbitrary intrinsic type and kind with all its elements initialized to the user specified value.
Cpm_err::getFine	Generate and return a decorated string resulting from the concatenation of getFile(FILE) and getLine(LINE) where FILE and LINE are replaced by the specified input source file and line of interest.
Cpm_mathFisher::getFisher	Generate and return the Fisher transformation of the input Fisher z value.
Cpm_mathFisher::getFisherInv	Generate and return the inverse Fisher transformation of the input Fisher z value.
Cpm_io::getFormat	Generate and return a generic or type/kind-specific IO format with the requested specifications that can be use to read or write individual records in IO actions
Cpm_distGamma::getGammaCDF	Generate and return the Cumulative Distribution Function (CDF) of the Gamma distribution for an input x within the support of the distribution \(x \in (0,+\infty)\)
Cpm_mathGamma::getGammaIncLow	Generate and return the regularized Lower Incomplete Gamma function for the specified shape parameter ( \(\kappa\)) and upper limit of the integral x
Cpm_mathGammaAM::getGammaIncLowAM	Generate and return the regularized Lower Incomplete Gamma function for the specified shape parameter ( \(\kappa\)) and upper limit of the integral x
Cpm_mathGammaGil::getGammaIncLowGil	Generate and return the regularized Lower Incomplete Gamma function for the specified shape parameter ( \(\kappa\)) and upper limit of the integral x
Cpm_mathGammaNR::getGammaIncLowNR	Generate and return the regularized Lower Incomplete Gamma function for the specified shape parameter ( \(\kappa\)) and upper limit of the integral x
Cpm_mathGamma::getGammaIncUpp	Generate and return the regularized Upper Incomplete Gamma function for the specified shape parameter ( \(\kappa\)) and lower limit of the integral x
Cpm_mathGammaAM::getGammaIncUppAM	Generate and return the regularized Upper Incomplete Gamma function for the specified shape parameter ( \(\kappa\)) and lower limit of the integral x
Cpm_mathGammaGil::getGammaIncUppGil	Generate and return the regularized Upper Incomplete Gamma function for the specified shape parameter ( \(\kappa\)) and upper limit of the integral x
Cpm_mathGammaNR::getGammaIncUppNR	Generate and return the regularized Upper Incomplete Gamma function for the specified shape parameter ( \(\kappa\)) and lower limit of the integral x
Cpm_distGamma::getGammaLogPDF	Generate and return the natural logarithm of the Probability Density Function (PDF) of the Gamma distribution for an input x within the support of the distribution \(x \in (0,+\infty)\)
Cpm_distGamma::getGammaLogPDFNF	Generate and return the natural logarithm of the normalization factor of the Probability Density Function (PDF) of the Gamma distribution for an input parameter set \((\kappa,\sigma)\)
Cpm_distGenExpGamma::getGenExpGammaCDF	Generate and return the Cumulative Distribution Function (CDF) of the GenExpGamma distribution for an input x within the support of the distribution \(x \in (-\infty,+\infty)\)
Cpm_distGenExpGamma::getGenExpGammaLogPDF	Generate and return the natural logarithm of the Probability Density Function (PDF) of the GenExpGamma distribution
Cpm_distGenExpGamma::getGenExpGammaLogPDFNF	Generate and return the natural logarithm of the normalization factor of the Probability Density Function (PDF) of the GenExpGamma distribution.
Cpm_distGenGamma::getGenGammaCDF	Generate and return the Cumulative Distribution Function (CDF) of the Generalized Gamma distribution for an input x within the support of the distribution \(x \in (0,+\infty)\)
Cpm_distGenGamma::getGenGammaLogPDF	Generate and return the natural logarithm of the Probability Density Function (PDF) of the GenGamma distribution
Cpm_distGenGamma::getGenGammaLogPDFNF	Generate and return the natural logarithm of the normalization factor of the Probability Density Function (PDF) of the GenGamma distribution.
Cpm_distGeom::getGeomCDF	Generate and return the Cumulative Distribution Function (CDF) of the Geometric distribution for an input stepSuccess within the discrete integer support of the distribution \([1, +\infty)\)
Cpm_distGeomCyclic::getGeomCyclicLogCDF	Generate and return the natural logarithm of the Cumulative Distribution Function (CDF) of the Cyclic Geometric distribution for an input stepSuccess within the discrete integer support of the distribution \([0, period]\)
Cpm_distGeomCyclic::getGeomCyclicLogPMF	Generate and return the natural logarithm of the Probability Mass Function (PMF) of the Cyclic Geometric distribution for an input stepSuccess within the discrete integer support of the distribution \([0, \ms{period}]\)
Cpm_distGeomCyclic::getGeomCyclicRand	Generate and return a scalar (or array of arbitrary rank of) random value(s) from the Cyclic Geometric distribution.
Cpm_distGeom::getGeomLogPMF	Generate and return the natural logarithm of the Probability Mass Function (PMF) of the Geometric distribution for an input stepSuccess within the discrete integer support of the distribution \([0, +\infty)\)
Cpm_distGeom::getGeomRand	Generate and return a scalar (or array of arbitrary rank of) random value(s) from the Geometric distribution.
Cpm_dateTime::getHour12	Generate and return the current 12-hour-clock local hour of the current day of the Gregorian calendar
Cpm_cosmology::getHubbleParamNormedSq	Generate and return the square of the dimensionless Hubble Parameter \(E(z)^2 = \big(\frac{H(z)}{H_0}\big)^2\) for the default or the specified cosmological parameters.
Cpm_sysPath::getIndexBaseName	Generate and return the index of the first character of the basename part of the input path.
Cpm_sysPath::getIndexDirName	Generate and return the index of the last character of the dirname (directory part) of the input path.
Cpm_sysPath::getIndexExtName	Generate and return the index of the first character of the file extension of the input path (if any extension exists).
Cpm_except::getInfNeg	Generate and return an IEEE-compliant negative infinity
Cpm_except::getInfPos	Generate and return an IEEE-compliant positive infinity.
Cpm_arrayInsert::getInserted	Generate and return a new array containing the original array within which the input insertion has been inserted at the specified indices index of the original array
Cpm_val2int::getInt	Generate and return the conversion of the input value to a integer value of default kind IK
Cpm_polation::getInterp	Generate and return the approximate polynomial interpolation value of the input specified point x for the specified method
Cpm_dateTime::getJulianDay	Generate and return the Julian Date (Julian Day Number JDN + the fractional part of the day) from the input [year, month, day, zone, hour, minute, second, millisecond] of the Gregorian calendar date
Cpm_distKolm::getKolmCDF	Generate and return the Cumulative Distribution Function (CDF) of the Kolmogorov distribution for an input x within the support of the distribution \(X \in [0, +\infty)\)
Cpm_distKolm::getKolmPDF	Generate and return the Probability Density Function (PDF) of the Kolmogorov distribution for an input x within the support of the distribution \(X \in [0, +\infty)\)
Cpm_distKolm::getKolmQuan	Generate and return a scalar (or array of arbitrary rank) of the quantile corresponding to the specified CDF of Kolmogorov distribution
Cpm_distKolm::getKolmRand	Generate and return a scalar (or array of arbitrary rank) of the random value(s) from the Kolmogorov distribution.
Cpm_str::getLenIndent	Generate and return the number of non-overlapping repetitions of the input pattern in the input str until the first occurrence of a mismatch between pattern and the relevant segment of str.
Cpm_err::getLine	Generate and return a decorated string as "@line(LINE)" where LINE is replaced by the input source line of interest.
Cpm_arraySpace::getLinSpace	Generate count evenly spaced points over the interval [x1, x2] if x1 < x2, or [x2, x1] if x2 < x1
Cpm_arrayFind::getLoc	Generate and return an allocatable array containing the indices of the locations within the input array where the input pattern exists
Cpm_strASCII::getLocNonSpace	Generate and return the location of the first occurrence of a non-whitespace character in the input string, from left to right. Otherwise, return 0 if the input string is all whitespace characters.
Cpm_strASCII::getLocSpace	Generate and return the location of the first occurrence of the whitespace character in the input string, from left to right. Otherwise, return 0 if the input string does not contain a whitespace character.
Cpm_batse::getLog10PF53	[LEGACY code] This generic interface is identical to the generic interface getLogPF53 with the only difference that all input and output arguments must be in \(\log_{10}(\cdot)\) instead of natural logarithm
Cpm_mathLog1p::getLog1p	Generate and return the expression log(1 + x) robustly (without numerical underflow)
Cpm_mathLogAddExp::getLogAddExp	Generate and return the logarithm of the sum of the exponential of two input logarithmic values robustly (without causing overflow)
Cpm_mathBeta::getLogBeta	Generate and return the natural logarithm of the Beta Function \(\mathrm{B}(\alpha, \beta)\) as defined in the details section of pm_mathBeta
Cpm_batse::getLogEffPPF	Generate and return the conversion of an input natural logarithm of peak photon flux in 64ms timescale to an effective triggering peak photon flux both in the BATSE detection energy range \([50, 300]\kev\).
Cpm_mathFactorial::getLogFactorial	Generate and return the natural logarithm of the factorial of the input positive whole real number
Cpm_val2logical::getLogical	Generate and return the conversion of the input value to a logical value of default kind LK
Cpm_distLogNorm::getLogNormCDF	Generate and return the Cumulative Distribution Function (CDF) of the univariate Lognormal distribution
Cpm_distLogNorm::getLogNormLogPDF	Generate the natural logarithm of probability density function (PDF) of the univariate Lognormal distribution
Cpm_batse::getLogPbol	Generate and return the conversion of an input natural logarithm of photon flux/fluence over a given time in the BATSE detection energy range \([50, 300]\kev\) to a bolometric ( \([0.0001, 20000]\kev\)) energy flux/fluence in units of \(\ergs\) over the same time.
Cpm_batse::getLogPF53	Generate and return the conversion of an input natural logarithm of a bolometric ( \([0.0001, 20000]\kev\)) energy flux/fluence in units of \(\ergs\) over a given time to the photon flux/fluence over the same time in the BATSE detection energy range \([50, 300]\kev\).
Cpm_cosmicRate::getLogRateDensityB10	Generate and return the unnormalized Comoving LGRB Formation Rate (LGFR) density for a given redshift \(z\) based on the Metallicity-corrected estimates of Butler et al. (2010): B10, assuming a piecewise power-law LGFR model
Cpm_cosmicRate::getLogRateDensityF18	Generate and return the unnormalized Comoving Star Formation Rate (SFR) density for a given redshift \(z\) based on the estimates of Fermi LAT Collaboration 2018: A gamma-ray determination of the Universe’s star formation history
Cpm_cosmicRate::getLogRateDensityH06	Generate and return the unnormalized Comoving Star Formation Rate (SFR) density for a given redshift \(z\) based on the estimates of Hopkins and Beacom et al. (2006), assuming a piecewise power-law fit.
Cpm_cosmicRate::getLogRateDensityL08	Generate and return the unnormalized Comoving Star Formation Rate (SFR) density for a given redshift \(z\) based on the estimates of Li (2008), assuming a piecewise power-law fit.
Cpm_cosmicRate::getLogRateDensityM14	Generate and return the unnormalized Comoving Star Formation Rate (SFR) density for a given redshift \(z\) based on the estimates of Eqn. 15 of Madau 2014: Cosmic Star-Formation History
Cpm_cosmicRate::getLogRateDensityM17	Generate and return the unnormalized Comoving Star Formation Rate (SFR) density for a given redshift \(z\) based on the estimates of Eqn. 15 of Madau 2014: Cosmic Star-Formation History
Cpm_cosmicRate::getLogRateDensityP15	Generate and return the unnormalized Gamma-Ray Burst Formation Rate (GRBFR) density based on the estimates of Petrosian et al (2015)
Cpm_arraySpace::getLogSpace	Generate count evenly-logarithmically-spaced points over the interval [base**logx1, base**logx2] if logx1 < logx2, or over the interval [logx2, logx1] if logx2 < logx1
Cpm_mathLogSubExp::getLogSubExp	Generate and return the natural logarithm of the subtraction of the exponential of the smaller input logarithmic value from the larger input logarithmic value robustly (without causing overflow)
Cpm_mathLogSumExp::getLogSumExp	Generate and return the natural logarithm of the sum of the exponential of the input array robustly (without numerical overflow)
Cpm_distLogUnif::getLogUnifCDF	Generate and return the Cumulative Distribution Function (CDF) of the LogUniform distribution for an input log(x) within the support of the distribution \(x \in [0 < x_\mathrm{min}, x_\mathrm{max} < +\infty]\).
Cpm_distLogUnif::getLogUnifLogQuan	Generate and return a scalar (or array of arbitrary rank) of the natural logarithm(s) of quantile corresponding to the specified CDF of LogUniform distribution with parameters \((x_\mathrm{min}, x_\mathrm{max})\).
Cpm_distLogUnif::getLogUnifPDF	Generate and return the Probability Density Function (PDF) of the LogUniform distribution for an input x within the support of the distribution \(x \in [0 < x_\mathrm{min}, x_\mathrm{max} < +\infty]\).
Cpm_distLogUnif::getLogUnifPDFNF	Generate and return the normalization factor of the PDF of the LogUniform distribution for an input parameter set \((x_\mathrm{min}, x_\mathrm{max})\)
Cpm_distLogUnif::getLogUnifRand	Generate and return a scalar (or array of arbitrary rank) of random value(s) from the LogUniform distribution with parameters \((x_\mathrm{min}, x_\mathrm{max})\).
Cpm_ellipsoid::getLogVolEll	Generate and return the natural logarithm of the volume of an \(\ndim\)-dimensional ellipsoid.
Cpm_ellipsoid::getLogVolUnitBall	Generate and return the natural logarithm of the volume of an \(\ndim\)-dimensional ball of unit-radius
Cpm_matrixChol::getMatChol	Generate and return the upper or the lower Cholesky factorization of the input symmetric positive-definite matrix represented by the upper-triangle of the input argument \(\ms{mat} = L.L^T\).
Cpm_matrixCopy::getMatCopy	Generate and return a copy of a desired subset of the input source matrix of arbitrary shape (:) or (:,:) to the target subset of the output destin matrix of arbitrary shape (:) or (:,:)
Cpm_matrixDet::getMatDet	Generate and return the determinant of the input general square matrix.
Cpm_matrixDet::getMatDetSqrt	Generate and return the square-root of the determinant of the input positive-definite square matrix
Cpm_matrixDet::getMatDetSqrtLog	Generate and return the natural logarithm of the square-root of the determinant of the input positive-definite square matrix
Cpm_matrixIndex::getMatIndex	Generate and return the index of a specific element of a matrix of a specific storage in specific packing format from the corresponding index in an alternative packing format
Cpm_matrixInit::getMatInit	Generate and return a matrix of shape (shape(1), shape(2)) with the upper/lower triangle and the diagonal elements of the matrix set to the corresponding requested input values.
Cpm_matrixInv::getMatInv	Generate and return the full inverse of an input matrix of general or triangular form directly or through its input the LU/Cholesky factorization.
Cpm_matrixTrace::getMatMulTrace	Generate and return the multiplicative trace of an input square matrix of type integer, complex, or real of arbitrary kind.
Cpm_matrixTrace::getMatMulTraceLog	Generate and return the natural logarithm of the multiplicative trace of an input square matrix of type integer, complex, or real of arbitrary kind.
Cpm_matrixTrace::getMatTrace	Generate and return the trace of an input square matrix of type integer, complex, or real of arbitrary kind.
Cpm_str::getMaxLoc	Generate and return the location of the first occurrence of the maximum of the input string(s).
Cpm_str::getMaxVal	Generate and return maximum character value in the input string(s).
Cpm_sampleMean::getMean	Generate and return the (weighted) mean of an input sample of nsam observations with ndim = 1 or 2 attributes, optionally weighted by the input weight.
Cpm_sampleMean::getMeanMerged	Generate and return the (weighted) merged mean of a sample resulting from the merger of two separate (weighted) samples \(A\) and \(B\).
Cpm_arrayMerge::getMerged	Generate an ascending-sorted merger of the two ascending-sorted input arrays
Cpm_optimization::getMinBrent	Generate and return the minimum value and the corresponding abscissa xmin of the input 1-dimensional function isolated to a fractional precision of about tol using the Brent method.
Cpm_str::getMinLoc	Generate and return the location of the first occurrence of the minimum of the input string(s)
Cpm_mathMinMax::getMinMax	Generate and return an array of size two containing the minimum and maximum of the two input values in the first and second elements, respectively.
Cpm_arrayMinMax::getMinMaxVal	Generate and return an array of size two containing the minimum and maximum values of a sequence of values in the first and second elements, respectively.
Cpm_str::getMinVal	Generate and return minimum character value in the input string(s).
Cpm_distMultiNorm::getMultiNormLogPDF	Generate and return the natural logarithm of the Probability Density Function (PDF) of the MultiVariate Normal distribution as defined in the description of pm_distMultiNorm
Cpm_distMultiNorm::getMultiNormLogPDFNF	Generate and return the natural logarithm of the normalization coefficient of the Probability Density Function (PDF) of the MultiVariate Normal distribution as defined in the description of pm_distMultiNorm
Cpm_distMultiNorm::getMultiNormRand	Generate and return a (collection) of random vector(s) of size ndim from the ndim-dimensional MultiVariate Normal (MVN) distribution, optionally with the specified input mean(1:ndim) and the specified subset of the Cholesky Factorization of the Covariance matrix of the MVN distribution
Cpm_except::getNAN	Generate and return an IEEE-compliant quiet NAN (Not a Number).
Cpm_distNegExp::getNegExpCDF	Generate and return the Cumulative Distribution Function (CDF) of the Negative Exponential distribution for an input x within the support of the distribution \((-\infty, \mu]\)
Cpm_distNegExp::getNegExpLogPDF	Generate and return the natural logarithm of the Probability Density Function (PDF) of the Negative Exponential distribution for an input x within the support of the distribution \((-\infty, \mu]\)
Cpm_distNegExp::getNegExpRand	Return a scalar (or array of arbitrary rank of) random value(s) from the Negative Exponential distribution, optionally with the specified input location and scale parameters mu, sigma.
Cpm_distNorm::getNormCDF	Generate and return the Cumulative Distribution Function (CDF) of the univariate Normal distribution
Cpm_sampleNorm::getNormed	Generate a sample of shape (nsam), or (ndim, nsam) or (nsam, ndim) that is normalized by the specified input shift and scale along the specified axis dim.
Cpm_distNorm::getNormEntropy	Generate and return the entropy of the Normal distribution with the input natural logarithm of the variance
Cpm_distNorm::getNormFisher	Generate the Fisher Information of the Normal distribution
Cpm_distNorm::getNormKLD	Generate and return the Kullback-Leibler Divergence (KLD) \(D_{KL}(P \parallel Q)\) of a given univariate Normal distribution \(Q\) from a reference Normal distribution \(P\)
Cpm_distNorm::getNormLogPDF	Generate the natural logarithm of probability density function (PDF) of the univariate Normal distribution
Cpm_distNorm::getNormQuan	Generate and return the Normal Quantile corresponding to the input CDF of the univariate Normal distribution
Cpm_distNorm::getNormRand	Generate and return a scalar or array of arbitrary rank of random values from the univariate Normal distribution with the specified input mean and optionally, with the specified input standard deviation std of the Normal distribution
Cpm_distNormShell::getNormShellLogUDF	Generate and return the natural logarithm of the NormShell density function value(s) at the specified input point X, for the specified set of parameters of the single or mixture of NormShell distributions.
Cpm_mathNumSys::getNumeral	Generate the numeral in the specified base corresponding to the input decimal number
Cpm_option::getOption	Generate and return the value of the optional input argument if it is present, otherwise, return the input default value
Cpm_dateTime::getOrdinalDay	Generate and return the ordinal day, also knowns as Day of Year (DOY), i.e., the number of days since the beginning of the input year until and including the input Gregorian Calendar date [year, month, day].
Cpm_arrayPad::getPadded	Generate a resized copy of the input array by padding it to the left and right with the requested paddings and optionally adding margins to the left and the right of the padded array optionally filled with the corresponding fills
Cpm_arrayPad::getPaddedl	Generate a resized copy of the input array by padding it to the left with the requested paddings and optionally adding margins to the left of the padded array optionally filled with the corresponding fills
Cpm_arrayPad::getPaddedr	Generate a resized copy of the input array by padding it to the right with the requested paddings and optionally adding margins to the right of the padded array optionally filled with the corresponding fills
Cpm_distPareto::getParetoLogCDF	Generate and return the natural logarithm of the Cumulative Distribution Function (CDF) of the (Truncated) Pareto distribution for an input log(x) within the support of the distribution \(x \in [0 < x_\mathrm{min}, x_\mathrm{max} < +\infty]\)
Cpm_distPareto::getParetoLogCDFNF	Generate and return the natural logarithm of the normalization factor of the CDF of the (Truncated) Pareto distribution for an input parameter set \((\alpha, x_\mathrm{min}, x_\mathrm{max})\)
Cpm_distPareto::getParetoLogPDF	Generate and return the natural logarithm of the Probability Density Function (PDF) of the (Truncated) Pareto distribution for an input log(x) within the support of the distribution \(x \in [0 < x_\mathrm{min}, x_\mathrm{max} < +\infty]\)
Cpm_distPareto::getParetoLogPDFNF	Generate and return the natural logarithm of the normalization factor of the PDF of the (Truncated) Pareto distribution for an input parameter set \((\alpha, x_\mathrm{min}, x_\mathrm{max})\)
Cpm_distPareto::getParetoLogQuan	Generate and return a scalar (or array of arbitrary rank) of the natural logarithm(s) of quantile corresponding to the specified CDF of (Truncated) Pareto distribution with parameters \((\alpha, x_\mathrm{min}, x_\mathrm{max})\).
Cpm_distPareto::getParetoLogRand	Generate and return a scalar (or array of arbitrary rank) of the natural logarithm(s) of random value(s) from the (Truncated) Pareto distribution with parameters \((\alpha, x_\mathrm{min}, x_\mathrm{max})\).
Cpm_sysPath::getPathAbs	Generate and return the absolute path corresponding to the input (potentially relative) path.
Cpm_sysPath::getPathExpandedUser	Generate and return the input path wherein the initial tilde character (~) is expanded to the home directory of current user.
Cpm_sysPath::getPathHostNameIndex	Generate and return the index of the last character of the hostname part of the input UNC path.
Cpm_sysPath::getPathJoined	Generate and return the path that results from joining the two input path parts, separated by the specified directory separator or the preferred directory separator of the runtime shell.
Cpm_sysPath::getPathMatch	Generate and return a list of directory paths matching a requested system application.
Cpm_sysPath::getPathNew	Generate and return a unique (directory or file) path name in the specified directory or the default current working directory.
Cpm_sysPath::getPathPosix	Generate and return a POSIX-standard (Unix-like) path from the input Windows-style path.
Cpm_sysPath::getPathPosixEscaped	Generate and return a POSIX standard (Unix-like) version of the input POSIX-style-separated path where all the relevant POSIX reserved characters are properly escaped via (\).
Cpm_sysPath::getPathSep	Generate and return the path separator character used by the runtime processor shell for separating paths from each other in the PATH environmental variable.
Cpm_sysPath::getPathTemp	Generate and return a unique (directory or file) path name in the temporary directory of the system or if there is none, in the current working directory of the program, optionally with the user-specified file name segments.
Cpm_sysPath::getPathVerbatim	Generate and return a path quoted with single or double quotation marks whose metacharacters are also properly escaped depending on the runtime system shell.
Cpm_sysPath::getPathVerbatimCMD	Generate and return a path quoted with double quotation marks where all instances of double quotes \(\ms{"}\) within the path are removed.
Cpm_sysPath::getPathVerbatimFish	Generate and return a path quoted with single quotation marks where all instances of backslashes within the path are replaced with double backslash and all single quotes \(\ms{'}\) are replaced with \(\ms{\'}\).
Cpm_sysPath::getPathVerbatimPosix	Generate and return a path quoted with single quotation marks where all instances of single quotes \(\ms{'}\) within the path are replaced with \(\ms{'\''}\).
Cpm_sysPath::getPathVerbatimPowerShell	Generate and return a path quoted with single quotation marks where all instances of single quotes \(\ms{'}\) within the path are replaced with \(\ms{''}\).
Cpm_sysPath::getPathWindows	Generate and return a normalized Windows-style path from the input POSIX-style or Windows-style path, such that it conforms to the path conventions of the Windows Command Prompt (CMD).
Cpm_distPiwiPoweto::getPiwiPowetoCDF	Generate and return the Cumulative Distribution Function (CDF) of the (Truncated) PiwiPoweto distribution for an input logx within the support of the distribution logLimX(1) <= logx <= logLimX(size(logLimX)).
Cpm_distPiwiPoweto::getPiwiPowetoLogPDF	Generate and return the natural logarithm of the Probability Density Function (PDF) of the (Truncated) PiwiPoweto distribution for an input logx within the support of the distribution logLimX(1) <= logx <= logLimX(n+1).
Cpm_distPiwiPoweto::getPiwiPowetoLogPDFNF	Generate and return the natural logarithm of the normalization factors of the components of the Probability Density Function (PDF) of the (Truncated) PiwiPoweto distribution for the input parameter vectors \((\alpha, x_\mathrm{lim})\)
Cpm_distPois::getPoisCDF	Generate and return the Cumulative Distribution Function (CDF) of the Poisson distribution for an input count within the discrete integer support of the distribution \([0, +\infty)\)
Cpm_distPois::getPoisLogPMF	Generate and return the natural logarithm of the Probability Mass Function (PMF) of the Poisson distribution for an input count within the discrete integer support of the distribution \([0, +\infty)\)
Cpm_distPois::getPoisRand	Generate and return a scalar (or array of arbitrary rank of) random value(s) from the Poisson distribution.
Cpm_polynomial::getPolyAdd	Generate and return the vector of coefficients of the polynomial resulting from the addition of a polynomial to another polynomial of arbitrary degrees
Cpm_polynomial::getPolyDiff	Generate and return the vector of coefficients of the polynomial resulting from the \(k\)th-order differentiation of a univariate polynomial of arbitrary degree
Cpm_polynomial::getPolyMul	Generate and return the vector of coefficients of the polynomial resulting from the multiplication of a polynomial with another polynomial of arbitrary degrees
Cpm_polynomial::getPolyRoot	Generate and return the roots of a polynomial of arbitrary degree specified by its coefficients coef.
Cpm_polynomial::getPolyStr	Generate and return a string containing the polynomial expression corresponding to the input polynomial coefficients
Cpm_polynomial::getPolySub	Generate and return the vector of coefficients of the polynomial resulting from the subtraction of a polynomial to another polynomial of arbitrary degrees
Cpm_polynomial::getPolyVal	Generate and return the value of the polynomial of arbitrary degree whose coefficients are specified by the user in the order of increasing power.
Cpm_distPower::getPowerLogCDF	Generate and return the natural logarithm of the Cumulative Distribution Function (CDF) of the (Truncated) Power distribution for an input log(x) within the support of the distribution \(x \in [0 < x_\mathrm{min}, x_\mathrm{max} < +\infty]\)
Cpm_distPower::getPowerLogCDFNF	Generate and return the natural logarithm of the normalization factor of the CDF of the (Truncated) Power distribution for an input parameter set \((\alpha, x_\mathrm{min}, x_\mathrm{max})\)
Cpm_distPower::getPowerLogPDF	Generate and return the natural logarithm of the Probability Density Function (PDF) of the (Truncated) Power distribution for an input log(x) within the support of the distribution \(x \in [0 < x_\mathrm{min}, x_\mathrm{max} < +\infty]\)
Cpm_distPower::getPowerLogPDFNF	Generate and return the natural logarithm of the normalization factor of the PDF of the (Truncated) Power distribution for an input parameter set \((\alpha, x_\mathrm{min}, x_\mathrm{max})\)
Cpm_distPower::getPowerLogQuan	Generate and return a scalar (or array of arbitrary rank) of the natural logarithm(s) of quantile corresponding to the specified CDF of (Truncated) Power distribution with parameters \((\alpha, x_\mathrm{min}, x_\mathrm{max})\)
Cpm_distPower::getPowerLogRand	Generate and return a scalar (or array of arbitrary rank) of the natural logarithm(s) of random value(s) from the (Truncated) Power distribution with parameters \((\alpha, x_\mathrm{min}, x_\mathrm{max})\).
Cpm_distPoweto::getPowetoLogCDF	Generate and return the natural logarithm of the Cumulative Distribution Function (CDF) of the (Truncated) Poweto distribution for an input logx within the support of the distribution \(x \in [0 < x_\mathrm{min}, x_\mathrm{max} < +\infty]\).
Cpm_distPoweto::getPowetoLogCDFNF	Generate and return the natural logarithm of the normalization factor of the Cumulative Distribution Function (CDF) of the (Truncated) Poweto distribution for the input parameters \((\alpha, x_\mathrm{min}, x_\mathrm{max})\)
Cpm_distPoweto::getPowetoLogPDF	Generate and return the natural logarithm of the Probability Density Function (PDF) of the (Truncated) Poweto distribution for an input logx within the support of the distribution \(x \in [0 < x_\mathrm{min}, x_\mathrm{max} < +\infty]\).
Cpm_distPoweto::getPowetoLogPDFNF	Generate and return the natural logarithm of the normalization factor of the Probability Density Function (PDF) of the (Truncated) Poweto distribution for the input parameters \((\alpha, x_\mathrm{min}, x_\mathrm{max})\)
Cpm_distPoweto::getPowetoLogQuan	Generate and return the natural logarithm of the Inverse Cumulative Distribution (Quantile) Function of the (Truncated) Poweto distribution for an input logCDF within the support of the distribution \((\alpha, x_\mathrm{min}, x_\mathrm{max})\).
Cpm_distPoweto::getPowetoLogRand	Generate and return a scalar (or array of arbitrary rank) of the natural logarithm(s) of random value(s) from the (Truncated) Poweto distribution with parameters \((\alpha, x_\mathrm{min}, x_\mathrm{max})\).
Cpm_statest::getProbKS	Generate and return the probability of the null-hypothesis that sample1 of size nsam1 originates from the same distribution as that of sample2 of size nsam2 or from the Uniform distribution or other distribution whose custom CDF is given.
Cpm_quadPack::getQuadErr	Compute the 1D integral of the input scalar (potentially singular) integrand getFunc on a finite or semi/fully-infinite interval (a, b) and estimate its absolute error via the requested adaptive global Gauss-Kronrod (GK) extension rules
Cpm_quadPack::getQuadGK	Compute the 1D integral of the input scalar integrand getFunc on the finite or infinite interval [a, b] and estimate its absolute error via the requested non-adaptive Gauss-Kronrod (GK) extension rule
Cpm_quadRomb::getQuadRomb	Generate and return the integral of the input function getFunc() in the closed range [lb, ub] using the Adaptive Romberg extrapolation method
Cpm_sampleQuan::getQuan	Generate and return the approximate sample quantile for the given method at the specified probabilities
Cpm_arrayRange::getRange	Generate minimally-spaced character, integer, real sequences or sequences at fixed intervals of size step from start to stop.
Cpm_arrayRank::getRankDense	Generate and return the Dense rank of the input scalar string or contiguous array of rank 1 in ascending order or in the order specified by the input procedure isSorted() using the Quicksort algorithm such that array(rank) will be in ascending order (or in the requested order as specified by isSorted()
Cpm_arrayRank::getRankFractional	Generate and return the Fractional rank of the input scalar string or contiguous array of rank 1 in ascending order or in the order specified by the input procedure isSorted() using the Quicksort algorithm such that array(rank) will be in ascending order (or in the requested order as specified by isSorted()
Cpm_arrayRank::getRankModified	Generate and return the Modified rank of the input scalar string or contiguous array of rank 1 in ascending order or in the order specified by the input procedure isSorted() using the Quicksort algorithm such that array(rank) will be in ascending order (or in the requested order as specified by isSorted()
Cpm_arrayRank::getRankOrdinal	Generate and return the ordinal rank of the input scalar string or contiguous array of rank 1 in ascending order or in the order specified by the input procedure isSorted() using the Quicksort algorithm such that array(rank) will be in ascending order (or in the requested order as specified by isSorted()
Cpm_arrayRank::getRankStandard	Generate and return the Standard rank of the input scalar string or contiguous array of rank 1 in ascending order or in the order specified by the input procedure isSorted() using the Quicksort algorithm such that array(rank) will be in ascending order (or in the requested order as specified by isSorted()
Cpm_val2real::getReal	Generate and return the conversion of the input value to a real value of default kind RK
Cpm_io::getRecordFrom	Generate and return a full record (line) of arbitrary length as a string from the current position of the record-oriented and formatted file connected to the specified input unit
Cpm_arrayRefine::getRefined	Generate a refined version of the input array by the specified weight and skip.
Cpm_arrayRemap::getRemapped	Generate a copy of the input array whose elements are reordered according to the input index array such that,   arrayNew = array(index) or,   arrayNew = array(index(size(index):1:-1)) if action = reverse or, holds for the output
Cpm_arrayRemove::getRemoved	Generate and return an allocatable array containing the remaining parts of the input array as a sequence after removing the input pattern at the requested occurrences
Cpm_arrayReplace::getReplaced	Generate and return an arrayNew of the same type and kind as the input array, in which the requested instances of the input pattern have been replaced with the input replacement
Cpm_arrayReverse::getReversed	Generate and return an output array whose elements are the reversed-order elements of the input array, such that   array = array(lenArray:1:-1),   where lenArray = len(array) if array is a scalar character, or lenArray = size(array) is an array of rank 1
Cpm_sampleWeight::getReweight	Generate and return a reweighting of the input weight vector, such that the sequence represented by output reweight is the refined (skipped by the amount skip) version of the sequence represented by the input weight.
Cpm_sampleCor::getRho	Generate and return the Spearman rank correlation matrix of the input (weighted) sample of shape (ndim, nsam) or (nsam, ndim) or the Spearman rank correlation coefficient a pair of (weighted) time series x(1:nsam) and y(1:nsam) where ndim is the number of data dimensions (the number of data attributes) and nsam is the number of data points.
Cpm_mathRoot::getRoot	Generate and return a root of a specified continuous real-valued one-dimensional mathematical function such that \(f(\mathrm{root}) = 0\) with the user-specified or the default root-finding method.
Cpm_sampleScale::getScaled	Generate a sample of shape (nsam), or (ndim, nsam) or (nsam, ndim) that is scaled by the specified input amount along the specified axis dim.
Cpm_arraySelect::getSelected	Generate and return the rankth smallest value in the input array by first sorting its elements in ascending order (optionally only between the specified indices [lb, ub]).
Cpm_sampleShift::getShifted	Generate a sample of shape (nsam), or (ndim, nsam) or (nsam, ndim) that is shifted by the specified input amount along the specified axis dim.
Cpm_arrayShuffle::getShuffled	Perform an unbiased random shuffling of the input array, known as the Knuth or Fisher-Yates shuffle, and generate and return the new reshuffled array
Cpm_arrayStrip::getSIL	Generate and return index, the index of the first element of the input array such that array(1:index-1) contains only full repetitions of the user-specified pattern
Cpm_arrayStrip::getSIR	Generate and return index, the index of the last element of the input array such that array(index+1:) contains only full repetitions of the user-specified pattern
Cpm_cosmology::getSizeUnivNormed	Generate and return the cosmological size (or equivalently, the age) of the Universe at the desired redshift normalized to Hubble Distance (or equivalently, to Hubble Time), given the user-specified cosmological parameters
Cpm_arraySort::getSorted	Generate and return the sorted elements of the input scalar string or contiguous vector in ascending order, or the sorted indices of the input scalar string or contiguous array of rank 1 in ascending order or in the user-specified order
Cpm_mathSqrt::getSqrt	Generate and return the integer square root of an input non-negative integer
Cpm_val2str::getStr	Generate and return the conversion of the input value to an output Fortran string, possibly with the requested format and sign symbol, if provided
Cpm_arrayStrip::getStripped	Generate and return the input array modified such that all instances of the input pattern are stripped from its both sides or only the side specified
Cpm_strASCII::getStrLower	Generate and return the input string where the uppercase English alphabets are all converted to lowercase letters.
Cpm_strASCII::getStrQuoted	Generate and return the input string quoted with double-quotation marks where all instances of double-quotations within the input string are escaped in the Fortran-style.
Cpm_strASCII::getStrUpper	Generate and return the input string where the lowercase English alphabets are all converted to uppercase letters.
Cpm_str::getStrWrapped	Generate and return the input scalar string wrapped within the specified width while optionally prefixing each line and respecting the initial indentation in all subsequent lines.
Cpm_matrixSubset::getSubComp	Generate and return the objects representing the complementary subset of the input matrix subset sub with respect to the main diagonal of the matrix
Cpm_matrixSubset::getSubSymm	Generate and return the objects representing the symmetric mirror subset of the input matrix subset sub with respect to the main diagonal of the matrix
Cpm_matrixSubset::getSubUnion	Generate and return the object representing the union of two input matrix subsets
Cpm_mathSum::getSum	Generate and return the expression sum(x) accurately (almost without roundoff error).
Cpm_sysInfo::getSysInfo	Generate and return a string containing a comprehensive report of the operating system and platform specifications
Cpm_timer::getTime_proc	This is the abstract interface of the setTime static type-bound procedure component of timer_type abstract type that performs the timing since a user-specified or a processor-dependent origin
Cpm_bench::getTiming	Generate and return an object of type timing_type containing the benchmark timing information and statistics
Cpm_str::getTrimmedTZ	Generate and return a vector of single-characters each element of which corresponds to one character in the input scalar string.
Cpm_distUnif::getUnifCDF	Generate and return the Cumulative Distribution Function (CDF) of a univariate Standard Uniform distribution or a Uniform distribution with the specified support via lower and upper input arguments at the specified input values
Cpm_distUnifEll::getUnifEllLogPDF	Generate and return the natural logarithm of the Probability Density Function (PDF) of the MultiVariate MVUE (MVUE) Distribution.
Cpm_distUnifEll::getUnifEllRand	Generate and return a (collection) of random vector(s) of size ndim from the ndim-dimensional MultiVariate Uniform Ellipsoidal (MVUE) distribution, optionally with the specified input mean(1:ndim) and the specified subset of the Cholesky Factorization of the Gramian matrix of the MVUE distribution
Cpm_distUnifElls::getUnifEllsLogPDF	Generate and return the natural logarithm of an approximation of the Probability Density Function (PDF) of the Multiple MultiVariate Uniformly Ellipsoidal (MMVUE) Distribution.
Cpm_distUnifPar::getUnifParLogPDF	Generate and return the natural logarithm of the Probability Density Function (PDF) of the MultiVariate Uniform Parallelepiped (MVUP) Distribution.
Cpm_distUnifPar::getUnifParRand	Generate and return a random vector from the \(\ndim\)-dimensional MultiVariate Uniform Parallelepiped (MVUP) Distribution.
Cpm_distUnif::getUnifRand	Generate and return a scalar or a contiguous array of rank 1 of length s1 of randomly uniformly distributed discrete logical, integer, character value(s), or continuous real or `complex value(s) within the specified input range.
Cpm_distUnif::getUnifRandState	Generate and return an allocatable array of rank 1 containing the state vector of the Fortran default random number generator (RNG) or, optionally set the RNG state based on a reference input scalar seed, optionally distinctly on each processor
Cpm_distUnif::getUnifRandStateSize	Generate and return the size of the seed vector of the Fortran default random number generator (RNG)
Cpm_distUnifSphere::getUnifSphereLogPDF	Generate and return the natural logarithm of the Probability Density Function (PDF) of the uniform distribution on an \(n\)-sphere embedded in an \(\ndim\)-dimensional space.
Cpm_distUnifSphere::getUnifSphereRand	Generate and return a (collection) of random vector(s) of size ndim uniformly distributed on the surface of an \(n\)-sphere, optionally with the specified input mean(1:ndim) and optionally affine-transformed to a non-uniform distribution on the surface of an \((n+1)\)-ellipsoid represented by the Cholesky Factorization of its Gramian matrix
Cpm_arrayUnique::getUnique	Generate and return a vector of unique values in the input array.
Cpm_sampleVar::getVar	Generate and return the variance of the input sample of type complex or real of shape (nsam) or (ndim, nsam) or (nsam, ndim) where ndim is the number of data dimensions (the number of data attributes) and nsam is the number of data points.
Cpm_sampleVar::getVarCorrection	Generate and return the bias correction factor for the computation of the variance of a (weighted) sample.
Cpm_sampleVar::getVarMerged	Generate and return the (weighted) merged variance of a complex or real sample resulting from the merger of two separate (weighted) samples \(A\) and \(B\).
Cpm_arrayVerbose::getVerbose	Generate an equally-weighted (verbose or flattened) array of the input weighted array of rank 1 or 2
Cpm_cosmology::getVolComDiffNormed	Generate and return the cosmological Comoving Volume Element per unit solid angle of the sky (i.e., 1 Steradian normalized to Hubble Volume, given the user-specified cosmological parameters
Cpm_cosmology::getVolComNormed	Generate and return the full-sky ( \(4\pi\) Steradian) cosmological Comoving Volume normalized to Hubble Volume, given the user-specified cosmological parameters.
Cpm_ellipsoid::getVolUnitBall	Generate and return the natural logarithm of the volume of an \(\ndim\)-dimensional ball of unit-radius
Cpm_dateTime::getWeekDate	Generate and return the ISO 8601 Week Date triple [week year, week number, week day] corresponding to the input Gregorian date and time values(1:3) or (year, month, day) triple
Cpm_dateTime::getWeekDay	Generate and return the day number of the week of a Gregorian Calendar date, assuming Sunday is the zeroth day of the week. If there is no input argument, then the current day number of the week is returned
Cpm_dateTime::getWeekDayISO	Generate and return the day number of the week of a Gregorian Calendar date, assuming Monday is the first day of the week. If there is no input argument, then the current day number of the week is returned
Cpm_dateTime::getWeekNumber	Generate and return the Week Number, i.e., the number of weeks of the input year until and including the week containing the specified input Gregorian date
Cpm_dateTime::getWeekYear	Generate and return the week year corresponding to the ISO 8601 Week Date triple [week year, week number, week day] equivalent of the input Gregorian date and time values(1:3) or (year, month, day) triple
Cpm_ziggurat::getZig	Generate and return a Ziggurat set for the specified distribution that can be subsequently used for random number generation from the distribution
Cpm_distNorm::getZigNorm	Generate and return the lower right edges of the rectangles of a Ziggurat partitioning of the Normal density function (and the corresponding density function values) to be used for Normal random number generation using the Ziggurat algorithm
Cpm_dateTime::getZoneAbbr	Generate and return the time zone abbreviation corresponding to the current local time or the specified zone in minutes
Cpm_quadPack::GK15_type	This is the indicator type for generating instances of objects that indicate the use of 7-point Gauss-Legendre quadrature with 15-point Kronrod extension formulae as the drivers in the (Adaptive) Global Gauss-Kronrod Quadrature of getQuadGK
Cpm_quadPack::GK21_type	This is the indicator type for generating instances of objects that indicate the use of 10-point Gauss-Legendre quadrature with 11-point Kronrod extension formulae as the drivers in the (Adaptive) Global Gauss-Kronrod Quadrature of getQuadGK
Cpm_quadPack::GK31_type	This is the indicator type for generating instances of objects that indicate the use of 15-point Gauss-Legendre quadrature with 31-point Kronrod extension formulae as the drivers in the (Adaptive) Global Gauss-Kronrod Quadrature of getQuadGK
Cpm_quadPack::GK41_type	This is the indicator type for generating instances of objects that indicate the use of 20-point Gauss-Legendre quadrature with 41-point Kronrod extension formulae as the drivers in the (Adaptive) Global Gauss-Kronrod Quadrature of getQuadGK
Cpm_quadPack::GK51_type	This is the indicator type for generating instances of objects that indicate the use of 25-point Gauss-Legendre quadrature with 51-point Kronrod extension formulae as the drivers in the (Adaptive) Global Gauss-Kronrod Quadrature of getQuadGK
Cpm_quadPack::GK61_type	This is the indicator type for generating instances of objects that indicate the use of 30-point Gauss-Legendre quadrature with 61-point Kronrod extension formulae as the drivers in the (Adaptive) Global Gauss-Kronrod Quadrature of getQuadGK
Cpm_sysPath::glob	Generate and return the result of globing the specified input pattern.
Cpm_distCov::gram_type	This the derived type whose instances imply the use of the Gram algorithm for generating random covariance matrices.
Cpm_batse::grb_type	This is the derived type for generating objects that contain attributes of BATSE catalog GRBs.
Cpm_sysPath::hasDriveLetter	Generate and return .true. is the input Windows-style path begins with a drive-letter pattern like C:.
Cpm_parallelism::image_type	This is the image_type type for generating objects that contain information about the current image/processor/thread and facilitate its synchronization with other processes, or the global finalization of all inter-process parallel communications (e.g., as is done in MPI applications)
Cpm_parallelism::imageis_type	This is the imageis_type type for generating objects with components of type logical of default kind LK that contain information about the current image/processor/thread.
►Cpm_quadTest::integrand_type	This is the base type integrand_type standing abstract integrand type to generate a variety of integration test functions.
Cpm_quadTest::int1_type	This is the derived type for generating test integrand objects of the algebraic form as described below
Cpm_quadTest::int2_type	This is the derived type for generating test integrand objects of algebraic form as described below
Cpm_quadTest::int3_type	This is the derived type for generating test integrand objects of algebraic form as described below
Cpm_quadTest::int4_type	This is the derived type for generating test integrand objects of the following algebraic form
Cpm_quadTest::int5_type	This is the derived type for generating test integrand objects of the following algebraic form
Cpm_quadTest::int6_type	This is the derived type for generating test integrand objects of the following algebraic form
Cpm_quadTest::int7_type	This is the derived type for generating test integrand objects of the following algebraic form
Cpm_quadTest::int8_type	This is the derived type for generating test integrand objects of the following algebraic form
Cpm_quadTest::int9_type	This is the derived type for generating test integrand objects of the following algebraic form
Cpm_quadTest::intCauchy1_type	This is the derived type for generating test integrand objects of the algebraic form as described below, whose Cauchy Principal Value is to be computed
Cpm_quadTest::intCauchy2_type	This is the derived type for generating test integrand objects of the algebraic form as described below, whose Cauchy Principal Value is to be computed
Cpm_quadTest::intDoncker1_type	This is the derived type for generating test integrand objects of algebraic form as described below
Cpm_quadTest::intDoncker2_type	This is the derived type for generating test integrand objects of algebraic form as described below
Cpm_quadTest::intGamUpp_type	This is the derived type for generating test integrand objects of the following algebraic form
Cpm_quadTest::intGenExpGammaPDF_type	This is the derived type for generating test integrand objects of the Probability Density Function of the GenExpGamma distribution
Cpm_quadTest::intLogNormPDF_type	This is the derived type for generating test integrand objects of the Probability Density Function of the Lognormal distribution
Cpm_quadTest::intNormPDF_type	This is the derived type for generating test integrand objects of the Probability Density Function of the Normal distribution
Cpm_quadTest::intPentaGammaInf_type	This is the derived type for generating test integrand objects of the sum of five Probability Density Functions of the Gamma distribution
Cpm_quadTest::intSinCos_type	This is the derived type for generating test integrand objects of the trigonometric form as described below
Cpm_matrixInv::inversion_type	This is a concrete derived type whose instances are exclusively used to request inversion operation on a given matrix within an interface of a procedure of the ParaMonte library.
Cpm_except::isAddOutflow	Generate and return .true. if and only if the addition of the two input integer, complex , or real values causes runtime negative or positive outflow (overflow)
Cpm_except::isAddOutflowNeg	Generate and return .true. if and only if the addition of the two input integer, complex , or real values causes runtime negative outflow (overflow)
Cpm_except::isAddOutflowPos	Generate and return .true. if and only if the addition of the two input integer, complex , or real values causes runtime positive outflow (overflow)
Cpm_arraySort::isAscending	Generate and return .true. if the input array is sorted in ascending order (with the possibility of elements being equal), otherwise, generate and return .false.
Cpm_arraySort::isAscendingAll	Generate and return .true. if the input array is sorted in strictly all ascending order (without equal elements), otherwise, generate and return .false.
Cpm_optimization::isBracketMax	Generate and return .true. if and only if a concave quadratic curve can fit the specified input triple [xmin, xlow, xupp] and the function value at the middle pointxmin` is larger than both boundary point function values.
Cpm_optimization::isBracketMin	Generate and return .true. if and only if a convex quadratic curve can fit the specified input triple [xmin, xlow, xupp] and the function value at the middle point xmin is smaller than both boundary point function values.
Cpm_strASCII::isCharAlpha	Generate and return .true. if the input (single) character is an uppercase or lowercase English alphabet ALPHA_VEC_SK.
Cpm_strASCII::isCharAlphaNum	Generate and return .true. if the input (single) character is a digit or an uppercase or lowercase English alphabet ALPHA_VEC_SK.
Cpm_strASCII::isCharDigit	Generate and return .true. if the input character of length 1 is a digit as in DIGIT_VEC_SK.
Cpm_strASCII::isCharLower	Generate and return .true. if the input single character contains an lowercase English alphabet ALPHA_LOWER_VEC_SK.
Cpm_strASCII::isCharUpper	Generate and return .true. if the input single character contains an uppercase English alphabet ALPHA_UPPER_VEC_SK.
Cpm_mathCompare::isClose	Generate and return .true. if the two input values are sufficiently close to each other within the specified tolerances.
Cpm_os::isDarwin	Generate and return .true. if the runtime operating system is Darwin (macOS)
Cpm_arraySort::isDescending	Generate and return .true. if the input array is sorted in descending order (with the possibility of elements being equal), otherwise, generate and return .false.
Cpm_arraySort::isDescendingAll	Generate and return .true. if the input array is sorted in strictly all descending order (without equal elements), otherwise, generate and return .false.
Cpm_sysPath::isDir	Generate and return .true. is the input path is an extant system directory, otherwise return .false..
Cpm_str::isEndedWith	Generate and return the location of the first occurrence of the minimum of the input string(s)
Cpm_sysPath::isExtant	Generate and return .true. if the input path (whether a file or a directory) exists and .false. otherwise.
Cpm_sysPath::isFailedChangeDir	Generate and return .true. if the attempt to set the current working directory to the input dir fails, otherwise return .false. upon success.
Cpm_sysPath::isFailedCopy	Generate and return .true. if the requested copy action failed, otherwise return .false. indicating success.
Cpm_sysShell::isFailedExec	Generate and return failed = .false. if the attempt to run the requested shell command is successful. Otherwise, return failed = .true. indicating the occurrence of an error
Cpm_distGeomCyclic::isFailedGeomCyclicFit	Generate and return .true. if the parameters of a least-squares fit to the histogram representing a Cyclic-Geometric-distributed sample can be successfully inferred, otherwise, return .false..
Cpm_sysShell::isFailedGetDirTemp	Generate and return failed = .false. if the path to the shell-specified temporary directory is successfully returned in the output dirTemp argument. Otherwise, return failed = .true. indicating the occurrence of an error
Cpm_sysShell::isFailedGetEnvVar	Generate and return failed = .false. if the value of the input environment variable name can be successfully retrieved as a trimmed string in the output argument value. Otherwise, return failed = .true. indicating the occurrence of an error.
Cpm_sysShell::isFailedGetOutput	Generate and return failed = .false. if the output of the input system command is successfully retrieved in the allocatable argument output. Otherwise, return failed = .true. indicating the occurrence of an error
Cpm_sysShell::isFailedGetShellHeight	Generate and return failed = .false. if the attempt to fetch the height (in characters) of the current shell terminal is successful. Otherwise, return failed = .true. indicating the occurrence of an error
Cpm_sysShell::isFailedGetShellShape	Generate and return failed = .false. if the attempt to fetch the shape (height and width) of the current shell terminal is successful. Otherwise, return failed = .true. indicating the occurrence of an error.
Cpm_sysShell::isFailedGetShellWidth	Generate and return failed = .false. if the attempt to fetch the width (in characters) of the current shell terminal is successful. Otherwise, return failed = .true. indicating the occurrence of an error
Cpm_sysPath::isFailedGlob	Generate and return .true. if the attempt to globing the specified input pattern fails, otherwise, return .false..
Cpm_sysPath::isFailedList	Generate and return .true. if the attempt to fetch the directory listing of the specified input path fails, otherwise, return .false..
Cpm_sysPath::isFailedMakeDir	Generate and return .true. if the attempt to create the requested directory path fails, otherwise return .false..
Cpm_sysPath::isFailedMakeDirTemp	Generate and return .true. if the attempt to create a temporary directory fails. Otherwise return .false. and set the output path to the newly created temporary directory.
Cpm_optimization::isFailedMinPowell	Generate and return .true. if and only if the algorithm fails to find the minimum value and the corresponding abscissa xmin(1:ndim) of the input arbitrary (ndim) dimensional-support function isolated to a fractional precision of about tol using the Powell unconstrained derivative-free minimization method.
Cpm_sysPath::isFailedMove	Generate and return .true. if the requested move action failed, otherwise return .false. indicating success.
Cpm_sysShell::isFailedPutEnvVar	Generate and return .true. if the attempt to (re)define the environment variable name with the specified value in the runtime shell **fails, otherwise return .false. upon success.
Cpm_quadPack::isFailedQuad	Compute the 1D integral of the input scalar (potentially singular) integrand getFunc on a finite or semi/fully-infinite interval (a, b) and estimate its absolute error via the requested adaptive global quadrature rule
Cpm_sysPath::isFailedRemove	Generate and return .true. if the requested path removal action from the file system failed, otherwise return .false. indicating success.
Cpm_sysPath::isFile	Generate and return .true. is the input path is a file (not a directory), otherwise return .false..
Cpm_distBern::isHead	Generate and return a scalar (or a vector of length size or an array of the same shape as the input p) containing the odds of getting a head in a single (or a series) of coin-flipping experiment(s).
Cpm_except::isInf	Generate and return .true. if the input value is an IEEE-compliant negative or positive infinity. If the input value is a complex number, then the output is .true. if any of the two real or imaginary components or both components are either negative or positive infinities
Cpm_except::isInfNeg	Generate and return .true. if the input value is an IEEE-compliant negative infinity.
Cpm_except::isInfPos	Generate and return .true. if the input value is an IEEE-compliant positive infinity.
Cpm_mathExp::isIntPow	Generate and return .true. if and only if the input positive integer is a whole-number (integer) power of the specified integer base
Cpm_sysInfo::isKernelDarwin	Generate and return .true. if the Operating System kernel is the macOS Darwin
Cpm_sysInfo::isKernelLinux	Generate and return .true. if the Operating System kernel is Linux
Cpm_sysInfo::isKernelWindows	Generate and return .true. if the Operating System kernel is the Windows
Cpm_dateTime::isLastDayInMonth	Generate and return .true. if the input date (year, month, day) triple corresponds to the last day of a Gregorian Calendar month
Cpm_os::isLinux	Generate and return .true. if the runtime operating system is Linux
Cpm_matrixClass::isMatClass	Generate and return .true. if and only if the input matrix is of the specified input class.
Cpm_matrixPack::isMatPack	Generate and return .true. if and only if a desired matrix with the specified input shape is of the specified input packing pack.
Cpm_ellipsoid::isMemberEll	Generate and return .true. if and only if the input point is a member (i.e., inside) of the specified \(\ndim\)-dimensional ellipsoid.
Cpm_dateTime::isMorning	Generate and return .true. if the hour in the current or the input time zone (-720 : +840) is Ante Meridiem (before noon)
Cpm_except::isNAN	Generate and return .true. if the input value is an IEEE-compliant NAN (Not a Number) or if the input value x is not equal to its input copy xcopy, a characteristic behavior of NAN values.
Cpm_io::isOpen	Generate and return .true. if the input file (or unit) is connected to a unit (or file), and .false. otherwise
Cpm_arraySort::isort_type
Cpm_sysPath::isPathAbsPosix	Generate and return .true. is the input path is an absolute POSIX path (whether existing or virtual), otherwise return .false..
Cpm_sysPath::isPathAbsWindows	Generate and return .true. is the input path is an absolute Windows path (whether existing or virtual), otherwise return .false..
Cpm_sysShell::isShellCMD	Generate and return .true. if the runtime system shell is Windows CMD
Cpm_sysShell::isShellPosix	Generate and return .true. if the runtime system shell is POSIX-compliant regardless of the Operating System
Cpm_sysShell::isShellPowerShell	Generate and return .true. if the runtime system shell is Microsoft PowerShell Core (on Unix systems) or Windows PowerShell (on Windows systems)
Cpm_sysShell::isShellWindows	Generate and return .true. if the runtime system shell is Windows-based (e.g., CMD, PowerShell) regardless of the Operating System
Cpm_arraySort::isSorted	Return .true. if the input array is sorted, either ascending or descending, or all equal
Cpm_strASCII::isStrAlpha	Generate and return a logical vector whose elements are .true. if and only if the corresponding characters in the input string belong to the uppercase English alphabet ALPHA_UPPER_VEC_SK.
Cpm_strASCII::isStrAlphaAll	Generate and return .true. if the input string is all alphabetic, containing only the English alphabet ALPHA_VEC_SK.
Cpm_strASCII::isStrAlphaAny	Generate and return .true. if any characters of the input string are alphabetic, that is, only the English alphabet ALPHA_VEC_SK.
Cpm_strASCII::isStrAlphaNum	Generate and return a logical vector whose elements are .true. if and only if the corresponding characters in the input string belong to the uppercase English alphabet ALPHA_UPPER_VEC_SK.
Cpm_strASCII::isStrAlphaNumAll	Generate and return .true. if the input string is all alphanumeric, containing only digits or the English alphabet ALPHANUM_VEC_SK.
Cpm_strASCII::isStrAlphaNumAny	Generate and return .true. if any characters of the input string are alphanumeric, that is, only digits or the English alphabet ALPHANUM_VEC_SK.
Cpm_strASCII::isStrComplex	Generate and return .true. if all characters of the input string collectively represent a complex number.
Cpm_strASCII::isStrDigit	Generate and return a vector of logical values of the same size as the length of the input scalar string str, whose elements are .true. if and only if the corresponding character in the input str is numeric (digits as in DIGIT_VEC_SK).
Cpm_strASCII::isStrDigitAll	Generate and return .true. if all characters of the input string are numeric (digits as in DIGIT_VEC_SK).
Cpm_strASCII::isStrDigitAny	Generate and return .true. if any character of the input string is numeric (digits as in DIGIT_VEC_SK).
Cpm_strASCII::isStrInteger	Generate and return .true. if all characters of the input string collectively represent an integer.
Cpm_strASCII::isStrLower	Generate and return a logical vector whose elements are .true. if and only if the corresponding characters in the input string belong to the uppercase English alphabet ALPHA_UPPER_VEC_SK.
Cpm_strASCII::isStrLowerAll	Generate and return .true. if the input string contains only lowercase English alphabets ALPHA_LOWER_VEC_SK.
Cpm_strASCII::isStrLowerAny	Generate and return .true. if the input string contains at least one lowercase English alphabet ALPHA_LOWER_VEC_SK.
Cpm_strASCII::isStrNumber	Generate and return .true. if the input string collectively represents an integer, a real, or a complex number.
Cpm_strASCII::isStrReal	Generate and return .true. if all characters of the input string collectively represent a real number.
Cpm_strASCII::isStrUpper	Generate and return a logical vector whose elements are .true. if and only if the corresponding characters in the input string belong to the uppercase English alphabet ALPHA_UPPER_VEC_SK.
Cpm_strASCII::isStrUpperAll	Generate and return .true. if the input string contains only uppercase English alphabets ALPHA_UPPER_VEC_SK.
Cpm_strASCII::isStrUpperAny	Generate and return .true. if the input string contains at least one uppercase English alphabet ALPHA_UPPER_VEC_SK.
Cpm_arrayUnique::isUnique	Generate and return .true. for each element of the input sequence whose value is unique among all sequence element values, otherwise return .false..
Cpm_arrayUnique::isUniqueAll	Generate and return .true. if and only if all elements of the input sequence values are unique.
Cpm_arrayUnique::isUniqueAny	Generate and return .true. if and only if at least one element of the input sequence is unique among others.
Cpm_dateTime::isValidDateTime	Generate and return .true. if the input date and time values(:) or (year, month, day, zone, hour, second, millisecond) octuple corresponds to a valid Gregorian Calendar date and time
Cpm_dateTime::isValidZone	Generate and return .true. is the input time zone zone in units of minutes is valid (i.e., -12 * 60 <= zone <= +14 * 60).
Cpm_os::isWindows	Generate and return .true. if the runtime operating system is Windows
Cpm_sysInfo::kernel_type	This is the kernel_type class for generating objects with logical components to determine the operating system (OS) kernel and its name
Cpm_sysInfo::kernelis_type	This is the kernelis_type class for generating objects with logical components to determine the operating system (OS) kernel
Cpm_lapack::lapackGETRF	Computes an LU factorization of a general M-by-N matrix A using partial pivoting with row interchanges.
Cpm_quadRomb::lbis_type	This is the indicator type for generating instances of objects that indicate the integration interval is open and, the integrand has an Integrable square-root type of Singularity at the finite Lower Bound of integration (LBIS)
Cpm_sysPath::ls	Generate and return a list of all paths within the specified input path.
►Cpm_matrixClass::matrix_type	This is an abstract derived type for constructing concrete derived types to distinguish various procedure signatures that require different matrix classes (e.g., Symmetric, Hermitian, ...).
►Cpm_matrixClass::cholesky_type	This is a concrete derived type whose instances are exclusively used to signify the Cholesky Factorization class of a given matrix within an interface of a procedure of the ParaMonte library.
Cpm_matrixClass::choLow_type	This is a concrete derived type whose instances are exclusively used to signify the lower-triangle Cholesky Factorization class of a given matrix within an interface of a procedure of the ParaMonte library.
Cpm_matrixClass::choUpp_type	This is a concrete derived type whose instances are exclusively used to signify the upper-triangle Cholesky Factorization class of a given matrix within an interface of a procedure of the ParaMonte library.
Cpm_matrixClass::factoring_type	This is a concrete derived type whose instances are exclusively used to signify the Factorization class of a given matrix within an interface of a procedure of the ParaMonte library.
►Cpm_matrixClass::hermitian_type	This is a concrete derived type whose instances are exclusively used to signify the Hermitian class of a given matrix within an interface of a procedure of the ParaMonte library.
Cpm_matrixClass::posdefmat_type	This is a concrete derived type whose instances are exclusively used to signify the Hermitian Positive-Definite class of a given matrix within an interface of a procedure of the ParaMonte library.
Cpm_matrixClass::invertible_type	This is a concrete derived type whose instances are exclusively used to signify the Invertible class of a given matrix within an interface of a procedure of the ParaMonte library.
Cpm_matrixClass::lup_type	This is a concrete derived type whose instances are exclusively used to signify the LUP Factorization class of a given matrix within an interface of a procedure of the ParaMonte library.
Cpm_matrixClass::square_type	This is a concrete derived type whose instances are exclusively used to signify the Square class of a given matrix within an interface of a procedure of the ParaMonte library.
Cpm_matrixClass::symmetric_type	This is a concrete derived type whose instances are exclusively used to signify the Symmetric class of a given matrix within an interface of a procedure of the ParaMonte library.
►Cpm_matrixClass::triang_type	This is a concrete derived type whose instances are exclusively used to signify the triangular class of a given matrix within an interface of a procedure of the ParaMonte library.
►Cpm_matrixClass::lowerDiag_type	This is a concrete derived type whose instances are exclusively used to signify the lower-diagonal triangular class of a given matrix within an interface of a procedure of the ParaMonte library.
Cpm_matrixClass::lowerUnit_type	This is a concrete derived type whose instances are exclusively used to signify the lower-unit-diagonal triangular class of a given matrix within an interface of a procedure of the ParaMonte library.
Cpm_matrixClass::lowerZero_type	This is a concrete derived type whose instances are exclusively used to signify the lower-zero-diagonal triangular class of a given matrix within an interface of a procedure of the ParaMonte library.
►Cpm_matrixClass::unitTriang_type	This is a concrete derived type whose instances are exclusively used to signify the unit-triangular class of a given matrix within an interface of a procedure of the ParaMonte library.
►Cpm_matrixClass::atomicTriang_type	This is a concrete derived type whose instances are exclusively used to signify the atomic-triangular class of a given matrix within an interface of a procedure of the ParaMonte library.
Cpm_matrixClass::frobenius_type	This is a concrete derived type whose instances are exclusively used to signify the frobenius class of a given matrix within an interface of a procedure of the ParaMonte library.
Cpm_matrixClass::gauss_type	This is a concrete derived type whose instances are exclusively used to signify the Gauss-Transformation class of a given matrix within an interface of a procedure of the ParaMonte library.
►Cpm_matrixClass::upperDiag_type	This is a concrete derived type whose instances are exclusively used to signify the upper-diagonal triangular class of a given matrix within an interface of a procedure of the ParaMonte library.
Cpm_matrixClass::upperUnit_type	This is a concrete derived type whose instances are exclusively used to signify the upper-unit-diagonal triangular class of a given matrix within an interface of a procedure of the ParaMonte library.
Cpm_matrixClass::upperZero_type	This is a concrete derived type whose instances are exclusively used to signify the upper-zero-diagonal triangular class of a given matrix within an interface of a procedure of the ParaMonte library.
Cpm_complexMinMax::max	Generate and return the component-wise maximum value of (both real and imaginary parts of) the input complex
Cpm_complexMinMax::maxloc	Generate and return the component-wise location of the maximum value of (both real and imaginary parts of) the input complex
Cpm_complexMinMax::maxval	Generate and return the component-wise maximum value of (both real and imaginary parts of) the input complex
Cpm_mathCompare::mean_type	This is an empty derived type that is exclusively used to differentiate the procedures within the generic interface isClose().
Cpm_sampleShift::meanshift_type	This is the derived type whose instances are meant to signify a sample shifting by an amount equal to the negative of the sample mean.
►Cpm_memory::memory_type	This is an abstract derived type for constructing concrete derived types to distinguish various procedure signatures that require different memory operations, layout, ....
Cpm_memory::sticky_type	This is a concrete derived type whose instances are exclusively used to request sticky (lingering) behavior within an interface of a procedure of the ParaMonte library.
►Cpm_err::message_type	This is the base derived type for constructing subclasses that contain the specifications of the generic message interfaces.
Cpm_err::mark_type	This is the derived type for constructing objects that contain the specifications of the generic interface setMarked along with a dynamic method show that acts as a convenience wrapper around the generic interface setMarked.
Cpm_err::note_type	Generate and return an object of type mark_type with the user-specified input attributes
Cpm_err::stop_type	Generate and return an object of type warn_type with the user-specified input attributes
Cpm_err::warn_type	Generate and return an object of type note_type with the user-specified input attributes
►Cpm_mathRoot::method_type	This is an abstract derived type for constructing concrete derived types to distinguish various procedure signatures that require root-finding methods (e.g., Bisection, False Position, Secant, Newton, Brent, Ridders, ...).
►Cpm_mathRoot::bracket_type	This is an abstract derived type for constructing concrete derived types to distinguish various procedure signatures that require bracketing root-finding methods (e.g., Bisection, False Position, ...).
Cpm_mathRoot::bisection_type	This is a concrete derived type whose instances are exclusively used to signify the use of the Bisection method of root-finding.
Cpm_mathRoot::false_type	This is a concrete derived type whose instances are exclusively used to signify the use of the False-Position method of root-finding.
►Cpm_mathRoot::hybrid_type	This is an abstract derived type for constructing concrete derived types to distinguish various procedure signatures that require iterative root-finding methods (e.g., Secant, Newton, ...).
Cpm_mathRoot::brent_type	This is a concrete derived type whose instances are exclusively used to signify the use of the Brent method of root-finding.
Cpm_mathRoot::ridders_type	This is a concrete derived type whose instances are exclusively used to signify the use of the Ridders method of root-finding.
Cpm_mathRoot::toms748_type	This is a concrete derived type whose instances are exclusively used to signify the use of the TOMS748 method of root-finding.
►Cpm_mathRoot::iteration_type	This is an abstract derived type for constructing concrete derived types to distinguish various procedure signatures that require iterative root-finding methods (e.g., Secant, Newton, ...).
Cpm_mathRoot::halley_type	This is a concrete derived type whose instances are exclusively used to signify the use of the Halley method of root-finding.
Cpm_mathRoot::newton_type	This is a concrete derived type whose instances are exclusively used to signify the use of the Newton method of root-finding.
Cpm_mathRoot::schroder_type	This is a concrete derived type whose instances are exclusively used to signify the use of the Schroder method of root-finding.
Cpm_mathRoot::secant_type	This is a concrete derived type whose instances are exclusively used to signify the use of the Secant method of root-finding.
►Cpm_polynomial::method_type	This is an abstract derived type for constructing concrete derived types to distinguish various procedure signatures that require root-finding methods (e.g., Eigenvalue, Jenkins, Laguerre, ...).
Cpm_polynomial::eigen_type	This is a concrete derived type whose instances are exclusively used to signify the use of the Eigenvalue method of root-finding.
Cpm_polynomial::jenkins_type	This is a concrete derived type whose instances are exclusively used to signify the use of Jenkins-Traub method of root-finding.
Cpm_polynomial::laguerre_type	This is a concrete derived type whose instances are exclusively used to signify the use of Laguerre method of root-finding.
Cpm_polynomial::sgl_type	This is a concrete derived type whose instances are exclusively used to signify the use of Skowron-Gould method of root-finding.
Cpm_complexMinMax::min	Generate and return the component-wise minimum value of (both real and imaginary parts of) the input complex
Cpm_complexMinMax::minloc	Generate and return the component-wise location of the minimum value of (both real and imaginary parts of) the input complex
Cpm_complexMinMax::minval	Generate and return the component-wise minimum value of (both real and imaginary parts of) the input complex
Cpm_clusTest::mmvue_type	This is the derived type for generating objects containing the specifications of a realization of an MMUVE distribution and a collection of randomly sampled points from it.
Cpm_clusTest::mmvue_type_write	Write the specifications of an object of type mmvue_type to an external sequential formatted filed with the specified input file unit funit.
Cpm_clusTest::mmvue_typer	Generate and return an object of type mmvue_type.
►Cpm_kind::model_type	This is the abstract derived type for creating objects of class model_type that contain the characteristics of the processor representation model used for the requested data object.
►Cpm_kind::modeln_type	This is the abstract derived type for creating objects of class modeln_type that contain the characteristics of the processor representation model used for the requested numeric data object.
►Cpm_kind::modeli_type	This is the abstract derived type for creating objects of class modeli_type that contain the characteristics of the processor representation model used for the requested integer data object.
Cpm_kind::modelb_type	This is the abstract derived type for creating objects of class modelb_type that contain the characteristics of the processor representation model used for the requested numeric data object.
Cpm_kind::modelr_type	This is the abstract derived type for creating objects of class modelr_type that contain the characteristics of the processor representation model used for the requested integer data object.
Cpm_polation::monopol_type	This is a concrete derived type whose instances are exclusively used to signify an interpolation using a single polynomial of highest degree possible given the abscissa within an interface of a procedure of the ParaMonte library.
Cpm_polation::neimean_type	This is a concrete derived type whose instances are exclusively used to signify an interpolation using the smallest node larger than the query point within an interface of a procedure of the ParaMonte library. The name neimean stands for neighbor mean.
Cpm_polation::neinear_type	This is a concrete derived type whose instances are exclusively used to signify an interpolation using the smallest node larger than the query point within an interface of a procedure of the ParaMonte library. The name neinear stands for neighbor nearest.
Cpm_polation::neinext_type	This is a concrete derived type whose instances are exclusively used to signify an interpolation using the smallest node larger than the query point within an interface of a procedure of the ParaMonte library. The name neinext stands for neighbor next.
Cpm_polation::neiprev_type	This is a concrete derived type whose instances are exclusively used to signify an interpolation using the largest node smaller than the query point within an interface of a procedure of the ParaMonte library. The name neiprev stands for neighbor previous.
Cpm_quadRomb::nexp_type	This is the indicator type for generating instances of objects that indicate the integration interval is open and, the intervals should be spaced assuming an integrand that behaves like a Negative-Exponent Exponential (NEXP), such that the upper limit of integration is allowed to be \(b = +\infty\)
Cpm_mathConst::ninf_type	This is the indicator type for generating instances of objects that indicate the use of the negative infinity \(-\infty\) as an input argument to the generic interfaces of the ParaMonte library.
Cpm_distCov::onion_type	This the derived type whose instances imply the use of the Onion algorithm for generating random covariance matrices as described in algorithm of Lewandowski et al. (2009).
Cpm_quadRomb::open_type	This is the indicator type for generating instances of objects that indicate the integration interval is open
Cpm_io::openArg_type	This is the openArg_type class containing arguments that can be passed to the open() intrinsic Fortran statement
Cpm_str::operator(.alleq.)	Generate and return .true. if the input scalar strings are equal (non-lexically), otherwise, return .false.
Cpm_arrayMembership::operator(.allin.)	Generate and return .true. if all elements of the input array-like val are members of the input array-like object Set, otherwise, return .false.
Cpm_arrayMembership::operator(.allinrange.)	Generate and return .true. if all elements of the input array-like object val are within a range specified by the input vector Set(1:2), otherwise, return .false.
Cpm_complexCompareAll::operator(.allneq.)	Generate and return .true. if both components of the input complex argument val1 are not equal to the corresponding components of the input complex argument val2
Cpm_complexCompareAny::operator(.anyeq.)	Generate and return .true. if either components of the input complex argument val1 is equal to the corresponding components of the input complex argument val2
Cpm_arrayMembership::operator(.anyin.)	Generate and return .true. if any elements of the input array-like val are members of the input array-like object Set, otherwise, return .false.
Cpm_arrayMembership::operator(.anyinrange.)	Generate and return .true. if any elements of the input array-like object val are within a range specified by the input vector Set(1:2), otherwise, return .false.
Cpm_complexCompareAny::operator(.anyneq.)	Generate and return .true. if either components of the input complex argument val1 are not equal to the corresponding components of the input complex argument val2
Cpm_mathDivMul::operator(.divmul.)	Generate and return the result of applying the mathematical unary or binary operators \(\times/\) to the input argument(s).
Cpm_arrayMembership::operator(.in.)	Generate and return .true. if the input value val is a member of the input array-like object set, otherwise, return .false.
Cpm_arrayMembership::operator(.inrange.)	Generate and return .true. if the input value val is within a range specified by the input array-like object set(1:2), otherwise, return .false.
Cpm_arrayCompareLex::operator(.lge.)	Generate and return the result of the lexicographic comparison of two input objects of the same type, kind, and rank using the >= operator
Cpm_arrayCompareLex::operator(.lgt.)	Generate and return the result of the lexicographic comparison of two input objects of the same type, kind, and rank using the > operator
Cpm_arrayCompareLex::operator(.lle.)	Generate and return the result of the lexicographic comparison of two input objects of the same type, kind, and rank using the <= operator
Cpm_arrayCompareLex::operator(.llt.)	Generate and return the result of the lexicographic comparison of two input objects of the same type, kind, and rank using the < operator
Cpm_mathSubAdd::operator(.subadd.)	Generate and return the result of applying the mathematical unary or binary operator \(\mp\) to the input argument(s)
Cpm_mathUnsigned::operator(.uadd.)	Generate and return a (possibly overflowed) signed integer that is the result of adding the two input (non-negative) integers without runtime overflow error
Cpm_container::operator(/=)	Generate and return the result of comparing the values of two input containers of scalar values using the /= operator
Cpm_logicalCompare::operator(/=)	Generate and return .true. if the input logical argument lhs is not equal to the input logical argument rhs
Cpm_complexCompareAll::operator(<)	Generate and return .true. if both components of the input complex argument val1 are less than the corresponding components of the input complex argument val2
Cpm_complexCompareAny::operator(<)	Generate and return .true. if either components of the input complex argument val1 are less than the corresponding components of the input complex argument val2
Cpm_complexCompareLex::operator(<)	Generate and return .true. if the real and imaginary components of the input complex argument val1 are lexicographically less than the corresponding components of the input complex argument val2
Cpm_container::operator(<)	Generate and return the result of comparing the values of two input containers of scalar values using the < operator
Cpm_logicalCompare::operator(<)	Generate and return .true. if the input logical argument lhs is less than the input logical argument rhs
Cpm_complexCompareAll::operator(<=)	Generate and return .true. if both components of the input complex argument val1 is less than or equal to the corresponding components of the input complex argument val2
Cpm_complexCompareAny::operator(<=)	Generate and return .true. if either components of the input complex argument val1 is less than or equal to the corresponding components of the input complex argument val2
Cpm_complexCompareLex::operator(<=)	Generate and return .true. if the real and imaginary components of the input complex argument val1 are lexicographically less than or equal to the corresponding components of the input complex argument val2
Cpm_container::operator(<=)	Generate and return the result of comparing the values of two input containers of scalar values using the <= operator
Cpm_logicalCompare::operator(<=)	Generate and return .true. if the input logical argument lhs is less than or equal to the input logical argument rhs
Cpm_container::operator(==)	Generate and return the result of comparing the values of the two input containers of scalar of arbitrary type and kind using the == operator
Cpm_logicalCompare::operator(==)	Generate and return .true. if the input logical argument lhs is equal to the input logical argument rhs
Cpm_complexCompareAll::operator(>)	Generate and return .true. if both components of the input complex argument val1 is more than the corresponding components of the input complex argument val2
Cpm_complexCompareAny::operator(>)	Generate and return .true. if either components of the input complex argument val1 is more than the corresponding components of the input complex argument val2
Cpm_complexCompareLex::operator(>)	Generate and return .true. if the real and imaginary components of the input complex argument val1 are lexicographically more than the corresponding components of the input complex argument val2
Cpm_container::operator(>)	Generate and return the result of comparing the values of two input containers of scalar values using the > operator
Cpm_logicalCompare::operator(>)	Generate and return .true. if the input logical argument lhs is more than the input logical argument rhs
Cpm_complexCompareAll::operator(>=)	Generate and return .true. if both components of the input complex argument val1 is more than or equal to the corresponding components of the input complex argument val2
Cpm_complexCompareAny::operator(>=)	Generate and return .true. if either components of the input complex argument val1 is more than or equal to the corresponding components of the input complex argument val2
Cpm_complexCompareLex::operator(>=)	Generate and return .true. if the real and imaginary components of the input complex argument val1 are lexicographically more than or equal to the corresponding components of the input complex argument val2
Cpm_container::operator(>=)	Generate and return the result of comparing the values of two input containers of scalar values using the >= operator
Cpm_logicalCompare::operator(>=)	Generate and return .true. if the input logical argument lhs is more than or equal to the input logical argument rhs
►Cpm_array::order_type	This is an abstract derived type for constructing concrete derived types to distinguish various procedure signatures that require different sequence order patterns (e.g., sorted, ascending, descending, ...).
Cpm_array::monotonic_type	This is a concrete derived type whose instances are exclusively used to signify the monotonic sequence order (e.g., strictly ascending, descending, equal, ...) within an interface of a procedure of the ParaMonte library.
►Cpm_array::sorted_type	This is a concrete derived type whose instances are exclusively used to signify the sorted sequence order within an interface of a procedure of the ParaMonte library.
Cpm_array::ascending_type	This is a concrete derived type whose instances are exclusively used to signify the ascending sequence order within an interface of a procedure of the ParaMonte library.
Cpm_array::descending_type	This is a concrete derived type whose instances are exclusively used to signify the descending sequence order within an interface of a procedure of the ParaMonte library.
Cpm_mathConst::origin_type	This is the derived type origin_type representing the geometric origin of the coordinates
►Cpm_matrixPack::package_type	This is an abstract derived type for constructing concrete derived types to distinguish various procedure signatures that require different forms of matrix packing (triangular, Band, ...).
►Cpm_matrixPack::ldpack_type	This is a concrete derived type whose instances are exclusively used to signify Linear Sparse (or Standard) Packing format of a (triangular) subset of a matrix within an interface of a procedure of the ParaMonte library.
►Cpm_matrixPack::lcpack_type	This is a concrete derived type whose instances are exclusively used to signify Linear Contiguous Packing format of a subset of a matrix within an interface of a procedure of the ParaMonte library.
Cpm_matrixPack::lfpack_type	This is a concrete derived type whose instances are exclusively used to signify Linear Full contiguous Packing format of a (triangular) subset of a matrix within an interface of a procedure of the ParaMonte library.
►Cpm_matrixPack::rdpack_type	This is a concrete derived type whose instances are exclusively used to signify Rectangular Sparse (or Standard) Packing format of a (triangular) subset of a matrix within an interface of a procedure of the ParaMonte library.
►Cpm_matrixPack::rcpack_type	This is a concrete derived type whose instances are exclusively used to signify Rectangular Full contiguous Packing format of a (triangular) subset of a matrix within an interface of a procedure of the ParaMonte library.
Cpm_matrixPack::rfpack_type	This is a concrete derived type whose instances are exclusively used to signify Rectangular Full contiguous Packing format of a (triangular) subset of a matrix within an interface of a procedure of the ParaMonte library.
Cpm_arrayPad::padb_type
Cpm_arrayPad::padl_type
Cpm_arrayPad::padr_type
Cpm_paramonte::paramonte_type	This a derived type devoid of any components or methods whose instantiated objects are used within the ParaMonte library to signify the use of the ParaMonte style (vs. alternative approaches) in performing various actions within the library.
Cpm_quadRomb::pexp_type	This is the indicator type for generating instances of objects that indicate the integration interval is open and, the intervals should be spaced assuming an integrand that behaves like a Positive-Exponent Exponential (PEXP), such that the lower limit of integration is allowed to be \(a = -\infty\)
Cpm_mathConst::pinf_type	This is the indicator type for generating instances of objects that indicate the use of the positive infinity \(+\infty\) as an input argument to the generic interfaces of the ParaMonte library.
Cpm_polation::piwilin_type	This is a concrete derived type whose instances are exclusively used to signify an interpolation using piecewise lines within an interface of a procedure of the ParaMonte library.
Cpm_polation::piwipol_type	This is a concrete derived type whose instances are exclusively used to signify an interpolation using multiple piecewise polynomial of arbitrary degree possible given the abscissa within an interface of a procedure of the ParaMonte library.
Cpm_mathRound::pnint	Generate and return the probabilistically-rounded to the nearest integer value of the input real number
Cpm_quadRomb::pwrl_type	This is the indicator type for generating instances of objects that indicate the integration interval is open \((a, b)\) and, the intervals should be spaced assuming an integrand that behaves like,
Cpm_clusTest::range_type	This is the derived type for generating objects containing the range of specifications of an MMVUE distribution as necessary by the derived type mmvue_type.
►Cpm_arrayRank::rank_type	This is an abstract derived type for constructing concrete derived types to distinguish various procedure signatures that require different forms of array ranking (dense, fractional, modified, ordinal, standard, ...).
Cpm_arrayRank::dense_type	This is a concrete derived type whose instances are exclusively used to request dense ranking of a given array within an interface of a procedure of the ParaMonte library.
Cpm_arrayRank::fractional_type	This is a concrete derived type whose instances are exclusively used to request the fractional ranking of a given array within an interface of a procedure of the ParaMonte library.
Cpm_arrayRank::modified_type	This is a concrete derived type whose instances are exclusively used to request the modified ranking of a given array within an interface of a procedure of the ParaMonte library.
Cpm_arrayRank::ordinal_type	This is a concrete derived type whose instances are exclusively used to request the ordinal ranking of a given array within an interface of a procedure of the ParaMonte library.
Cpm_arrayRank::standard_type	This is a concrete derived type whose instances are exclusively used to request the standard ranking of a given array within an interface of a procedure of the ParaMonte library.
Cpm_mathCompare::reference_type	This is an empty derived type that is exclusively used to differentiate the procedures within the generic interface isClose().
Cpm_distUnif::rngf_typer	Generate and return a scalar object of type rngf_type
►Cpm_distUnif::rngu_type	This is the abstract base derived type for defining various Uniform Random Number Generator (URNG) derived types.
Cpm_distUnif::rngf_type	This is a concrete derived type whose instances can be used to define/request the default uniform random number generator (RNG) of the Fortran standard.
Cpm_distUnif::splitmix64_type	This is the derived type for declaring and generating objects of type splitmix64_type containing a unique instance of an splitmix64 random number generator (RNG)
►Cpm_distUnif::xoshiro256ss_type	This is the abstract base derived type for defining variants of Xoshiro256** Uniform Random Number Generator derived types.
Cpm_distUnif::xoshiro256ssg_type	This is the derived type for declaring and generating objects of type xoshiro256ssg_type containing a unique instance of a greedy Xoshiro256** random number generator (RNG)
Cpm_distUnif::xoshiro256ssw_type	This is the derived type for declaring and generating objects of type xoshiro256ssw_type containing a unique instance of a Xoshiro256** random number generator (RNG)
►Cpm_sampling::sampler_type	This is a derived type for constructing objects containing the optional simulation properties of the ParaMonte library explorers and samplers.
►Cpm_sampling::paramcmc_type	This is a derived type for constructing objects containing the optional simulation properties of the ParaMonte library MCMC explorers and samplers.
►Cpm_sampling::paradram_type	This is a derived type for constructing objects containing the optional simulation properties of the ParaMonte library Delayed-Rejection Adaptive Metropolis (DRAM) MCMC explorers and samplers.
Cpm_sampling::paradise_type	This is a derived type for constructing objects containing the optional simulation properties of the ParaMonte library DRAM-enhanced MCMC explorers and samplers.
Cpm_sampling::paranest_type	This is a derived type for constructing objects containing the optional simulation properties of the ParaMonte library Nested explorers and samplers.
►Cpm_test::scope_type
Cpm_test::func_type
►Cpm_search::search_type	This is an abstract derived type for constructing concrete derived types to distinguish various procedure signatures that require different search algorithms (linear, binary, ...).
Cpm_search::binary_type	This is a concrete derived type whose instances are exclusively used to request binary search algorithm within an interface of a procedure of the ParaMonte library.
Cpm_search::linear_type	This is a concrete derived type whose instances are exclusively used to request linear search algorithm within an interface of a procedure of the ParaMonte library.
Cpm_err::setAborted	Write the input string in the format of a fatal error to the output, then call error stop or return the control to the caller if requested.
Cpm_sampleCCF::setACF	Return the auto-correlation function (ACF) \((f\star f)(\tau)\) of the discrete signal \(f\) lagging itself for a range of lags that spans the sequence length.
Cpm_sampleAffinity::setAffinity	Return an affine-transformation of the input sample of shape (1:ndim) or (1:ndim, 1:nsam) or (1:nsam, 1:ndim) based on the specified values for the translation tlate and tranformations tform along the specified axis dim.
Cpm_strASCII::setAsciiFromEscaped	Return the input C-style escaped string where all instances of C-style escape sequences are converted to the corresponding ASCII characters or left intact if they are not convertible.
Cpm_err::setAsserted	Verify the input assertion holds and if it does not, print the (optional) input message on stdout and halt the program via error stop or (optionally) return the program control to the caller routine, if requested.
Cpm_distBand::setBandEnergy	Generate and return the energy integral (the energy fluence in units of the input break energy) of the Band model for the given distribution parameters from the corresponding photon integral of the distribution (the photon fluence in units of photon counts).
Cpm_distBand::setBandMean	Generate and return the mean of the Band distribution for an input set of parameters.
Cpm_distBand::setBandPhoton	Generate and return the photon integral (the photon fluence in units of photon counts) of the Band model for the given distribution parameters from the corresponding energy integral of the distribution (the energy fluence in units of the input break energy).
Cpm_distBand::setBandUCDF	Generate and return the unnormalized cumulative distribution function (UCDF) of the Band spectral model/distribution.
Cpm_distBern::setBernRand	Return a scalar or array of arbitrary rank of Bernoulli-distributed random values (0 or 1), with the specified input success probability p
Cpm_distBeta::setBetaCDF	Return the CDF of the Beta distribution for the given parameters \((\alpha, \beta)\) as defined in the details section of pm_distBeta
Cpm_mathBeta::setBetaInc	Return the regularized Incomplete Beta Function \(I_x(\alpha, \beta)\) as defined in the details section of pm_mathBeta
Cpm_mathBeta::setBetaInv	Return the regularized Inverse Incomplete Beta Function \(I_x(\alpha, \beta)\) as defined in the details section of pm_mathBeta
Cpm_distBeta::setBetaLogPDF	Return the natural logarithm of the Probability Density Function (PDF) of the Beta distribution for an input x within the support of the distribution \(x \in (0,1)\)
Cpm_distBeta::setBetaRand	Return a scalar or array of arbitrary rank of Beta-distributed random values in range \([0, 1]\) (or \((0, 1)\), depending on the specific parameter values) with the specified two shape parameters \((\alpha, \beta)\) of the Beta distribution corresponding to the procedure arguments (alpha, beta)
Cpm_distBinom::setBinomCDF	Return the Cumulative Distribution Function (CDF) of the Binomial distribution.
Cpm_distBinom::setBinomLogPMF	Return the natural logarithm of the Probability Mass Function (PMF) of the Binomial distribution for an input nsuc within the discrete integer support of the distribution.
Cpm_optimization::setBracketMax	Refine an initial input interval such that the final returned interval is guaranteed to contain the maximum of the user-specified input function.
Cpm_optimization::setBracketMin	Refine an initial input interval such that the final returned interval is guaranteed to contain the minimum of the user-specified input function.
Cpm_sampleCCF::setCCF	Return the cross-correlation function (CCF) \((f\star g)(\tau)\) of the discrete signal \(g\) lagging the signal the discrete signal \(f\) for a range of lags that spans the maximum of the lengths of the two sequences.
Cpm_clusKmeans::setCenter	Compute and return the centers of the clusters corresponding to the input sample, cluster membership IDs, and sample distances-squared from their corresponding cluster centers.
Cpm_arrayCenter::setCentered	Center the contents of the input array within the output arrayCentered while filling the newly added elements (if any) with the user-specified fill
Cpm_arrayChange::setChange	Return a randomly-uniform uniquely-selected sequence of elements from a scalar character or integer range specified via the input limits [start, stop].
Cpm_strASCII::setCharLower	Replace any uppercase English alphabet in the input character with the corresponding lowercase English letter.
Cpm_strASCII::setCharUpper	Replace any lowercase English alphabet in the input character with the corresponding uppercase English letter.
Cpm_quadPack::setChebExpan	Compute and return the series expansion of the input function values via the Chebyshev polynomials of the first kind of degrees 12 and 24 using Fast Fourier Transform method
Cpm_arrayChoice::setChoice	Select a single (or multiple) element(s) from the input array of intrinsic type of arbitrary kind randomly uniformly or optionally according to the specified Probability Mass Function (PMF) of the input array.
Cpm_matrixChol::setChoLow	[LEGACY code] Return the lower-triangle of the Cholesky factorization \(L\) of the symmetric positive-definite real-valued matrix represented by the upper-triangle of the input argument \(\ms{mat} = L.L^T\).
Cpm_distChol::setCholRand	Return a random upper or lower Cholesky factorization.
Cpm_arrayCompact::setCompact	Generate a compacted version of the input array where all sequentially duplicate entries along the specified dimension of array are condensed to a single entry in the output compact
Cpm_val2complex::setComplex	Return the conversion of the input value to a complex value of arbitrary kind
Cpm_io::setContentsFrom	Return the entire contents of the input unconnected file or the (remaining) contents of an already-connected file associated with the input unit.
Cpm_io::setContentsTo	Write the input string contents to the input unconnected file.
Cpm_arrayCopy::setCopyIndexed	Copy an input scalar string or vector of arbitrary intrinsic type, kind, and size to another scalar string or vector of the same type, kind, and compatible size.
Cpm_arrayCopy::setCopyStrided	Copy the strided elements of an input scalar string or vector of arbitrary intrinsic type, kind, and size to the strided elements of another scalar string or vector of the same type, kind, and compatible size.
Cpm_sampleCor::setCor	Return the (weighted) correlation matrix corresponding to the input (weighted) covariance matrix or return the (weighted) sample Pearson correlation matrix of the input array of shape (ndim, nsam) or (nsam, ndim) or the Pearson correlation coefficient a pair of (weighted) time series x(1:nsam) and y(1:nsam) where ndim is the number of data dimensions (the number of data attributes) and nsam is the number of data points.
Cpm_sampleCor::setCordance	Compute and return the Cordance vector of the input data series x and y.
Cpm_arrayInit::setCoreHalo	Initialize the rectangular core and halo of an input array of arbitrary rank and shape of arbitrary intrinsic type and kind with the corresponding user-specified values.
Cpm_distCosRaised::setCosRaisedCDF	Return the Cumulative Distribution Function (CDF) of the Raised Cosine distribution for an input x within the support of the distribution \(x \in [\mu - \sigma, \mu + \sigma]\)
Cpm_distCosRaised::setCosRaisedPDF	Return the Probability Density Function (PDF) of the Raised Cosine distribution for an input x within the support of the distribution \(x \in [\mu - \sigma, \mu + \sigma]\)
Cpm_sampleCov::setCov	Return the covariance matrix corresponding to the input (potentially weighted) correlation matrix or return the biased sample covariance matrix of the input array of shape (ndim, nsam) or (nsam, ndim) or a pair of (potentially weighted) time series x(1:nsam) and y(1:nsam) where ndim is the number of data dimensions (the number of data attributes) and nsam is the number of data points.
Cpm_sampleCov::setCovMean	Return the covariance matrix and mean vector corresponding to the input (potentially weighted) input sample of shape (ndim, nsam) or (nsam, ndim) or a pair of (potentially weighted) time series x(1:nsam) and y(1:nsam) where ndim is the number of data dimensions (the number of data attributes) and nsam is the number of data points.
Cpm_sampleCov::setCovMeanMerged	Return the merged covariance and mean of a sample resulting from the merger of two separate (potentially weighted) samples \(A\) and \(B\).
Cpm_sampleCov::setCovMeanUpdated	Return the covariance and mean of a sample that results from the merger of two separate (potentially weighted) non-singular \(A\) and singular \(B\) samples.
Cpm_sampleCov::setCovMerged	Return the merged covariance of a sample resulting from the merger of two separate (potentially weighted) samples \(A\) and \(B\).
Cpm_distCov::setCovRand	Return a random positive-definite power-law-distributed (correlation) matrix.
Cpm_sampleCov::setCovUpdated	Return the covAariance resulting from the merger of two separate (potentially weighted) non-singular and singular samples \(A\) and \(B\).
Cpm_mathCumPropExp::setCumPropExp	Return the cumulative sum of the proportions of the exponential of the input array, optionally in the backward direction and, optionally reverse the output cumulative sum upon return
Cpm_mathCumSum::setCumSum	Return the cumulative sum of the input array, optionally in the backward direction and optionally, reverse the output cumulative sum array upon return
Cpm_distanceEuclid::setDisEuclid	Generate and return the (squared) Euclidean distance of a (set of) point(s) in ndim-dimensions from a reference point (possibly origin), optionally robustly without underflow or overflow.
Cpm_distanceKolm::setDisKolm	Return the Kolmogorov distance of a sample1 of size nsam1 from another sample sample2 of size nsam2 or the CDF of the Uniform or a custom reference distribution.
Cpm_distanceMahal::setDisMahalSq	Return the square of the Mahalanobis distance of a (set of npnt) point(s) from a single (or a set of nsam independent) sample(s) characterized by a (set of) Multivariate Normal (MVN) distribution(s) in ndim dimensions
Cpm_distanceEuclid::setDisMatEuclid	Return the full or a subset of the Euclidean (squared) distance matrix of the input set of npnt points in ndim dimensions
Cpm_sampleECDF::setECDF	Compute and return the Empirical Cumulative Distribution Function (ECDF) of a univariate (optionally weighted) sample of size size(ecdf)
Cpm_mathErf::setErfInv	Return the Inverse Error Function \(\ms{erf}^{-1}(x)\) for an input real value in range \((-1, +1)\) as defined in the details section of pm_mathErf
Cpm_quadPack::setErrSorted	Sort the input local error estimates list (resulting from the interval subdivision process of the Adaptive Global quadrature procedures of this module) in descending order
Cpm_distExp::setExpCDF	Return the Cumulative Distribution Function (CDF) of the Exponential distribution for an input x within the support of the distribution \([\mu, +\infty)\)
Cpm_distExpGamma::setExpGammaCDF	Return the Cumulative Distribution Function (CDF) of the ExpGamma distribution for an input x within the support of the distribution \(x \in (-\infty,+\infty)\)
Cpm_distExpGamma::setExpGammaLogPDF	Return the natural logarithm of the Probability Density Function (PDF) of the ExpGamma distribution
Cpm_distExp::setExpLogPDF	Return the natural logarithm of the Probability Density Function (PDF) of the Exponential distribution for an input x within the support of the distribution \([\mu, +\infty)\)
Cpm_distExp::setExpRand	Return a scalar (or array of arbitrary rank of) random value(s) from the Exponential distribution, optionally with the specified input location and scale parameters mu, sigma.
Cpm_polation::setExtrap	Generate and return the approximate polynomial interpolation/extrapolation value of the input specified point x for the specified method
Cpm_fftnr::setFFTF	Return the Forward Fourier Transform of a periodic sequence of type complex or real of arbitrary kind parameter
Cpm_fftpack::setFFTF	Return the Forward Fourier Transform (or equivalently, the Fourier coefficients) of a periodic sequence of type complex or real of arbitrary kind type parameter
Cpm_fftnr::setFFTI	Return the Inverse (normalized by 2 / size(data)) Fourier Transform of a periodic sequence of type complex or real of arbitrary kind parameter
Cpm_fftpack::setFFTI	Return the Inverse (normalized) Fourier Transform of a periodic sequence of type complex or real of arbitrary kind type parameter
Cpm_fftnr::setFFTR	Return the Reverse (unnormalized) Fourier Transform of a periodic sequence of type complex or real of arbitrary kind parameter
Cpm_fftpack::setFFTR	Return the Reverse (unnormalized) Fourier Transform of a periodic sequence of type complex or real of arbitrary kind type parameter
Cpm_io::setFileClosed	Open the given input file, fetch the entire contents return it as a single allocatable string, and close the file
Cpm_parallelism::setForkJoinScaling	Return the predicted parallel Fork-Join speedup scaling behavior for simulations whose image contributions are stochastically accepted only from the first successful image starting from image ID 1
Cpm_distGamma::setGammaCDF	Return the Cumulative Distribution Function (CDF) of the Gamma distribution for an input x within the support of the distribution \(x \in (0,+\infty)\)
Cpm_mathGamma::setGammaInc	Return the regularized Lower Incomplete Gamma function for the specified shape parameter ( \(\kappa\)) and upper limit of the integral x
Cpm_mathGammaGil::setGammaIncGil	Return the regularized Lower and Upper Incomplete Gamma function values for the specified shape parameter ( \(\kappa\)) and upper limit of the integral x.
Cpm_mathGammaAM::setGammaIncLowAM	Return the regularized Lower Incomplete Gamma function for the specified shape parameter ( \(\kappa\)) and upper limit of the integral x
Cpm_mathGammaNR::setGammaIncLowNR	Return the regularized Lower Incomplete Gamma function for the specified shape parameter ( \(\kappa\)) and upper limit of the integral x
Cpm_mathGammaNR::setGammaIncLowSeriesNR	Return the regularized Lower Incomplete Gamma function for the specified upper limit x and shape parameter, evaluated by the series representation of the Incomplete Gamma function
Cpm_mathGammaAM::setGammaIncUppAM	Return the regularized Upper Incomplete Gamma function for the specified shape parameter ( \(\kappa\)) and lower limit of the integral x
Cpm_mathGammaNR::setGammaIncUppContFracNR	Return the regularized Upper Incomplete Gamma function for the specified lower limit x and shape parameter, evaluated by the Legendre continued fraction representation of the Incomplete Gamma function
Cpm_mathGammaNR::setGammaIncUppNR	Return the regularized Upper Incomplete Gamma function for the specified shape parameter ( \(\kappa\)) and lower limit of the integral x
Cpm_distGamma::setGammaLogPDF	Return the natural logarithm of the Probability Density Function (PDF) of the Gamma distribution for an input x within the support of the distribution \(x \in (0,+\infty)\).
Cpm_distGamma::setGammaRand	Return a scalar or array of arbitrary rank of Gamma-distributed random values with the specified shape and scale parameters \((\kappa, \sigma)\) of the Gamma distribution corresponding to the procedure arguments (kappa, sigma)
Cpm_distGenExpGamma::setGenExpGammaCDF	Return the Cumulative Distribution Function (CDF) of the GenExpGamma distribution for an input x within the support of the distribution \(x \in (-\infty,+\infty)\)
Cpm_distGenExpGamma::setGenExpGammaLogPDF	Return the natural logarithm of the Probability Density Function (PDF) of the GenExpGamma distribution
Cpm_distGenGamma::setGenGammaCDF	Return the Cumulative Distribution Function (CDF) of the Generalized Gamma distribution for an input x within the support of the distribution \(x \in (0,+\infty)\)
Cpm_distGenGamma::setGenGammaLogPDF	Return the natural logarithm of the Probability Density Function (PDF) of the GenGamma distribution
Cpm_distGenGamma::setGenGammaRand	Return a scalar or array of arbitrary rank of GenGamma-distributed random values with the specified shape and scale parameters \((\kappa, \omega, \sigma)\) of the Generalized Gamma distribution corresponding to the procedure arguments (kappa, omega, sigma)
Cpm_distGeom::setGeomCDF	Return the Cumulative Distribution Function (CDF) of the Geometric distribution
Cpm_distGeomCyclic::setGeomCyclicLogCDF	Return the natural logarithm of the Cumulative Distribution Function (CDF) of the Cyclic Geometric distribution for an input stepSuccess within the discrete integer support of the distribution \([0, period]\)
Cpm_distGeomCyclic::setGeomCyclicLogPMF	Return the natural logarithm of the Probability Mass Function (PMF) of the Cyclic Geometric distribution for an input stepSuccess within the discrete integer support of the distribution \([0, period]\)
Cpm_distGeomCyclic::setGeomCyclicRand	Return a scalar (or array of arbitrary rank of) random value(s) from the Cyclic Geometric distribution.
Cpm_distGeom::setGeomLogPMF	Return the natural logarithm of the Probability Mass Function (PMF) of the Geometric distribution for an input stepSuccess within the discrete integer support of the distribution \([0, +\infty)\)
Cpm_distGeom::setGeomRand	Return a scalar (or array of arbitrary rank of) random value(s) from the Geometric distribution.
Cpm_timer::setIdle_proc	This is the abstract interface of the wait static type-bound procedure component of timer_type abstract type that keeps the system waiting for the specified amount of seconds.
Cpm_except::setInfNeg	Return an IEEE-compliant negative infinity.
Cpm_except::setInfPos	Return an IEEE-compliant positive infinity.
Cpm_arrayInsert::setInserted	Return a new array arrayNew containing the original array within which the input insertion has been inserted at the specified indices index of the original array
Cpm_val2int::setInt	Return the conversion of the input value to a integer value of arbitrary kind
Cpm_polation::setInterp	Generate and return the approximate polynomial interpolation value of the input specified point x for the specified method
Cpm_clusKmeans::setKmeans	Compute and return an iteratively-refined set of cluster centers given the input sample using the k-means approach.
Cpm_clusKmeans::setKmeansPP	Compute and return an asymptotically optimal set of cluster centers for the input sample, cluster membership IDs, and sample distances-squared from their corresponding cluster centers.
Cpm_knn::setKnnSorted	Return the input distance matrix whose columns are sorted in ascending order on output, optionally only up to the kth row of each column, such that the kth row in the ith column is the kth nearest neighbor to the \(i^{th}\) reference point.
Cpm_distKolm::setKolmCDF	Return the Cumulative Distribution Function (CDF) of the Kolmogorov distribution for an input x within the support of the distribution \(X \in [0, +\infty)\)
Cpm_distKolm::setKolmPDF	Return the Probability Density Function (PDF) of the Kolmogorov distribution for an input x within the support of the distribution \(X \in [0, +\infty)\)
Cpm_distKolm::setKolmQuan	Return a scalar (or array of arbitrary rank) of the quantile corresponding to the specified CDF of Kolmogorov distribution
Cpm_distKolm::setKolmRand	Return a scalar (or array of arbitrary rank) of the random value(s) from the Kolmogorov distribution
Cpm_arraySpace::setLinSpace	Return the linSpace output argument with size(linSpace) elements of evenly-spaced values over the interval [x1, x2] if x1 < x2, or [x2, x1] if x2 < x1
Cpm_arrayFind::setLoc	Return an allocatable array containing the indices of the locations within the input array where the input pattern exists.
Cpm_val2logical::setLogical	Return the conversion of the input value to a logical value of arbitrary kind
Cpm_distLogNorm::setLogNormCDF	Generate and return the Cumulative Distribution Function (CDF) of the univariate Lognormal distribution
Cpm_distLogNorm::setLogNormLogPDF	Generate the natural logarithm of probability density function (PDF) of the univariate Lognormal distribution
Cpm_arraySpace::setLogSpace	Return the logSpace output argument with size(logSpace) elements of logarithmically-evenly-spaced values over the interval [base**logx1, base**logx2] if logx1 < logx2, or over the interval [logx2, logx1] if logx2 < logx1
Cpm_distLogUnif::setLogUnifCDF	Return the Cumulative Distribution Function (CDF) of the LogUniform distribution for an input log(x) within the support of the distribution \(x \in [0 < x_\mathrm{min}, x_\mathrm{max} < +\infty]\)
Cpm_distLogUnif::setLogUnifLogQuan	Return a scalar (or array of arbitrary rank) of the natural logarithm(s) of quantile corresponding to the specified CDF of LogUniform distribution with parameters \((x_\mathrm{min}, x_\mathrm{max})\)
Cpm_distLogUnif::setLogUnifLogRand	Return a scalar (or array of arbitrary rank) of the natural logarithm(s) of random value(s) from the LogUniform distribution with parameters \((x_\mathrm{min}, x_\mathrm{max})\)
Cpm_distLogUnif::setLogUnifPDF	Return the Probability Density Function (PDF) of the LogUniform distribution for an input x within the support of the distribution \(x \in [0 < x_\mathrm{min}, x_\mathrm{max} < +\infty]\).
Cpm_ellipsoid::setLogVolUnitBall	Return the natural logarithm of the volume of an \(\ndim\)-dimensional ball of unit-radius
Cpm_err::setMarked	Write the input string in the format of a custom notification, warning, or other types of messages to the output.
Cpm_matrixChol::setMatChol	Compute and return the lower/upper-triangle of the Cholesky factorization \(L\) of the input Symmetric/Hermitian positive-definite triangular matrix.
Cpm_matrixCopy::setMatCopy	Copy a desired subset of the input source matrix of arbitrary shape (:) or (:,:) to the target subset of the output destin matrix of arbitrary shape (:) or (:,:)
Cpm_matrixDet::setMatDet	Return the determinant of the input square matrix
Cpm_matrixDet::setMatDetSqrt	Return the determinant of the input positive-definite square matrix
Cpm_matrixDet::setMatDetSqrtLog	Return the natural logarithm of the square-root of the determinant of the input positive-definite square matrix
Cpm_matrixInit::setMatInit	Set the upper/lower triangle and the diagonal elements of the input matrix of arbitrary shape (:,:) to the requested input values.
Cpm_matrixInv::setMatInv	Generate and return the full inverse of a general or triangular matrix or a subset of the inverse of a positive-definite matrix complementary to its specified Cholesky factorization subset.
Cpm_matrixLUP::setMatLUP	Return the LU-Pivoted decomposition of the input square matrix mat(ndim,ndim).
Cpm_matrixMulAdd::setMatMulAdd	Return the result of the multiplication of the input matrices/vector matA and matB in the user-specified form.
Cpm_matrixMulTri::setMatMulTri	Return the matrix solution to the system of linear equations with a triangular coefficient matrix \(\ms{C}\)
Cpm_matrixTrans::setMatTrans	Generate and return the transpose of the input matrix of arbitrary type and kind using a cache-oblivious approach.
Cpm_matrixUpdate::setMatUpdate	Return the result of arbitrary-rank Symmetric/Hermitian updates to triangular matrices of type integer, complex, and real of arbitrary type-kind parameters
Cpm_matrixUpdate::setMatUpdateR1	Return the rank-1 update of the input matrix mat using the input vectors vecA and vecB
Cpm_matrixUpdate::setMatUpdateTriang	Return the result of arbitrary-rank Symmetric/Hermitian updates to triangular matrices of type integer, complex, and real of arbitrary type-kind parameters
Cpm_sampleMean::setMean	Return the (weighted) mean of a pair of time series or of an input sample of nsam observations with ndim = 1 or 2 attributes, optionally weighted by the input weight, optionally also sum(weight) and optionally, sum(weight**2).
Cpm_sampleMean::setMeanMerged	Return the (weighted) merged mean of a sample resulting from the merger of two separate (weighted) samples \(A\) and \(B\).
Cpm_clusKmeans::setMember	Compute and return the memberships and minimum distances of a set of input points with respect to the an input set of cluster centers.
Cpm_arrayMerge::setMerged	Merge two ascending-sorted arrays such that the resulting merged array contains all elements of the two arrays in ascending order
Cpm_optimization::setMinBrent	Compute and return the minimum value and the corresponding abscissa xmin of the input 1-dimensional function isolated to a fractional precision of about tol using the Brent method.
Cpm_mathMinMax::setMinMax	Return the minimum and maximum of the two input scalar values a and b in a and b, respectively, on output.
Cpm_arrayMinMax::setMinMaxVal	Return the minimum and maximum values of the input sequence.
Cpm_optimization::setMinPowell	Compute and return the minimum value and the corresponding abscissa xmin(1:ndim) of the input arbitrary (ndim) dimensional-support function isolated to a fractional precision of about tol using the Powell unconstrained derivative-free minimization method.
Cpm_distMultiNorm::setMultiNormRand	Return a (collection) of random vector(s) of size ndim from the ndim-dimensional MultiVariate Normal (MVN) distribution, optionally with the specified input mean(1:ndim) and the specified subset of the Cholesky Factorization of the Covariance matrix of the MVN distribution
Cpm_except::setNAN	Return an IEEE-compliant quiet NAN (Not a Number).
Cpm_distNegExp::setNegExpCDF	Return the Cumulative Distribution Function (CDF) of the Negative Exponential distribution for an input x within the support of the distribution \((-\infty, \mu]\)
Cpm_distNegExp::setNegExpLogPDF	Return the natural logarithm of the Probability Density Function (PDF) of the Negative Exponential distribution for an input x within the support of the distribution \((-\infty, \mu]\)
Cpm_distNegExp::setNegExpRand	Return a scalar (or array of arbitrary rank of) random value(s) from the Negative Exponential distribution, optionally with the specified input location and scale parameters mu, sigma.
Cpm_quadPack::setNodeWeightGK	Return the Kronrod \(2n + 1\) nodes and weights of the extension to the \(n\)-point Gauss-Legendre quadrature, as well as the \(n\)-point Gauss-Legendre weights
Cpm_distNorm::setNormCDF	Generate and return the Cumulative Distribution Function (CDF) of the univariate Normal distribution
Cpm_sampleNorm::setNormed	Return a sample of shape (nsam), or (ndim, nsam) or (nsam, ndim) that is normalized by the specified input shift and scale along the specified axis dim.
Cpm_distNorm::setNormLogPDF	Generate the natural logarithm of probability density function (PDF) of the univariate Normal distribution
Cpm_distNorm::setNormQuan	Generate and return the quantile of the univariate Normal distribution at the specified input CDF
Cpm_distNorm::setNormRand	Return a scalar or array of arbitrary rank of random values from the standard univariate Normal distribution.
Cpm_distNorm::setNormRandBox	Return a scalar or array of arbitrary rank of random values from the univariate Normal distribution, using the Box-Muller algorithm
Cpm_err::setNoted	Write the input string in the format of a notification to the output.
Cpm_arrayPad::setPadded	Resize the input array by padding it to the left and right with the requested paddings and optionally adding margins to the left and the right of the padded array optionally filled with the corresponding fills
Cpm_arrayPad::setPaddedl	Resize the input array by padding it to the left with the requested paddings and optionally adding margins to the left of the padded array optionally filled with the corresponding fills
Cpm_arrayPad::setPaddedr	Resize the input array by padding it to the right with the requested paddings and optionally adding margins to the right of the padded array optionally filled with the corresponding fills
Cpm_distPareto::setParetoLogCDF	Return the natural logarithm of the Cumulative Distribution Function (CDF) of the (Truncated) Pareto distribution for an input log(x) within the support of the distribution \(x \in [0 < x_\mathrm{min}, x_\mathrm{max} < +\infty]\)
Cpm_distPareto::setParetoLogPDF	Return the natural logarithm of the Probability Density Function (PDF) of the (Truncated) Pareto distribution for an input log(x) within the support of the distribution \(x \in [0 < x_\mathrm{min}, x_\mathrm{max} < +\infty]\)
Cpm_distPareto::setParetoLogQuan	Return a scalar (or array of arbitrary rank) of the natural logarithm(s) of quantile corresponding to the specified CDF of (Truncated) Pareto distribution with parameters \((\alpha, x_\mathrm{min}, x_\mathrm{max})\).
Cpm_distPareto::setParetoLogRand	Return a scalar (or array of arbitrary rank) of the natural logarithm(s) of random value(s) from the (Truncated) Pareto distribution with parameters \((\alpha, x_\mathrm{min}, x_\mathrm{max})\)
Cpm_sysPath::setPathMatch	Return a list of directory paths matching a requested system application.
Cpm_sysPath::setPathPosix	Return a POSIX-standard (Unix-like) path from the input (Windows-style) path.
Cpm_sysPath::setPathPosixEscaped	Return a POSIX standard (Unix-like) version of the input POSIX-style-separated path where all the relevant POSIX reserved characters are properly escaped via (\).
Cpm_sysPath::setPathWindows	Normalize the input POSIX-style or Windows-style path to a Windows-style path, such that it conforms to the path conventions of the Windows Command Prompt (CMD).
Cpm_distPiwiPoweto::setPiwiPowetoCDF	Return the Cumulative Distribution Function (CDF) of the (Truncated) PiwiPoweto distribution for an input logx within the support of the distribution logLimX(1) <= logx <= logLimX(size(logLimX)).
Cpm_distPiwiPoweto::setPiwiPowetoLogPDF	Return the natural logarithm of the Probability Density Function (PDF) of the (Truncated) PiwiPoweto distribution for an input logx within the support of the distribution logLimX(1) <= logx <= logLimX(n+1)
Cpm_distPois::setPoisCDF	Return the Cumulative Distribution Function (CDF) of the Poisson distribution
Cpm_distPois::setPoisLogPMF	Return the natural logarithm of the Probability Mass Function (PMF) of the Poisson distribution for an input count within the discrete integer support of the distribution \([0, +\infty)\)
Cpm_distPois::setPoisRand	Return a scalar (or array of arbitrary rank of) random value(s) from the Poisson distribution.
Cpm_polynomial::setPolyAdd	Return the vector of coefficients of the polynomial resulting from the addition of a polynomial to another polynomial of arbitrary degrees
Cpm_polynomial::setPolyDiff	Return the vector of coefficients of the polynomial resulting from the \(k\)th-order differentiation of a univariate polynomial of arbitrary degree
Cpm_polynomial::setPolyDiv	Return the quotient and remainder of dividing a polynomial with another polynomial of arbitrary degrees
Cpm_polynomial::setPolyMul	Return the vector of coefficients of the polynomial resulting from the multiplication of a polynomial with another polynomial of arbitrary degrees
Cpm_polynomial::setPolyRoot	Return the roots of a polynomial of arbitrary degree specified by its coefficients coef.
Cpm_polynomial::setPolyRootPolished	Return the polished (refined) root of a polynomial of arbitrary degree specified by its coefficients coef.
Cpm_polynomial::setPolySub	Return the vector of coefficients of the polynomial resulting from the subtraction of a polynomial to another polynomial of arbitrary degrees
Cpm_distPower::setPowerLogCDF	Return the natural logarithm of the Cumulative Distribution Function (CDF) of the (Truncated) Power distribution for an input log(x) within the support of the distribution \(x \in [0 < x_\mathrm{min}, x_\mathrm{max} < +\infty]\)
Cpm_distPower::setPowerLogPDF	Return the natural logarithm of the Probability Density Function (PDF) of the (Truncated) Power distribution for an input log(x) within the support of the distribution \(x \in [0 < x_\mathrm{min}, x_\mathrm{max} < +\infty]\)
Cpm_distPower::setPowerLogQuan	Return a scalar (or array of arbitrary rank) of the natural logarithm(s) of quantile corresponding to the specified CDF of (Truncated) Power distribution with parameters \((\alpha, x_\mathrm{min}, x_\mathrm{max})\)
Cpm_distPower::setPowerLogRand	Return a scalar (or array of arbitrary rank) of the natural logarithm(s) of random value(s) from the (Truncated) Power distribution with parameters \((\alpha, x_\mathrm{min}, x_\mathrm{max})\)
Cpm_distPoweto::setPowetoLogCDF	Return the natural logarithm of the Cumulative Distribution Function (CDF) of the (Truncated) Poweto distribution for an input logx within the support of the distribution \(x \in [0 < x_\mathrm{min}, x_\mathrm{max} < +\infty]\).
Cpm_distPoweto::setPowetoLogPDF	Return the natural logarithm of the Probability Density Function (PDF) of the (Truncated) Poweto distribution for an input logx within the support of the distribution \(x \in [0 < x_\mathrm{min}, x_\mathrm{max} < +\infty]\).
Cpm_distPoweto::setPowetoLogQuan	Return the natural logarithm of the Inverse Cumulative Distribution (Quantile) Function of the (Truncated) Poweto distribution for an input logCDF within the support of the distribution \((\alpha, x_\mathrm{min}, x_\mathrm{max})\).
Cpm_distPoweto::setPowetoLogRand	Return a scalar (or array of arbitrary rank) of the natural logarithm(s) of random value(s) from the (Truncated) Poweto distribution with parameters \((\alpha, x_\mathrm{min}, x_\mathrm{max})\)
Cpm_statest::setProbKS	Return the probability and the corresponding Kolmogorov distribution quantile of the null-hypothesis that sample1 of size nsam1 originates from the same distribution as that of sample2 of size nsam2 or from the Uniform distribution or other distribution whose custom CDF is given.
Cpm_arrayRange::setRange	Return evenly spaced integer or character sequence starting at start with jump sizes of step.
Cpm_arrayRank::setRankDense	Return the Dense rank of the input scalar string or contiguous array of rank 1 in ascending order or in the order specified by the input procedure isSorted() using the Quicksort algorithm such that array(rank) will be in ascending order (or in the requested order as specified by isSorted()
Cpm_arrayRank::setRankFractional	Return the Fractional rank of the input scalar string or contiguous array of rank 1 in ascending order or in the order specified by the input procedure isSorted() using the Quicksort algorithm such that array(rank) will be in ascending order (or in the requested order as specified by isSorted()
Cpm_arrayRank::setRankModified	Return the Modified rank of the input scalar string or contiguous array of rank 1 in ascending order or in the order specified by the input procedure isSorted() using the Quicksort algorithm such that array(rank) will be in ascending order (or in the requested order as specified by isSorted()
Cpm_arrayRank::setRankOrdinal	Return the ordinal rank of the input scalar string or contiguous array of rank 1 in ascending order or in the order specified by the input procedure isSorted() using the Quicksort algorithm such that array(rank) will be in ascending order (or in the requested order as specified by isSorted()
Cpm_arrayRank::setRankStandard	Return the Standard rank of the input scalar string or contiguous array of rank 1 in ascending order or in the order specified by the input procedure isSorted() using the Quicksort algorithm such that array(rank) will be in ascending order (or in the requested order as specified by isSorted()
Cpm_val2real::setReal	Return the conversion of the input value to a real value of arbitrary kind
Cpm_arrayRebill::setRebilled	Allocate or resize (shrink or expand) and refill an input allocatable scalar string or array of rank 1..3 to arbitrary lower and upper bounds while preserving the original contents or a subset of it.
Cpm_arrayRebind::setRebound	Resize (shrink or expand) an input allocatable array of rank 1..3 to arbitrary new lower and upper bounds `array(@lb:ub) while preserving the original contents or a subset of it.
Cpm_io::setRecordFrom	Read a full record (line) of arbitrary length as a string from the current position of the record-oriented and formatted file connected to the specified input unit
Cpm_arrayRefill::setRefilled	Allocate or resize (shrink or expand) and refill an input allocatable scalar string or array of rank 1..3 to an arbitrary size while preserving the original contents or a subset of it.
Cpm_arrayRefine::setRefined	Generate a refined version of the input array where the sequentially unweighted entries along the specified dimension of array are skipped every skip to create a refined weighted output array of size rsize.
Cpm_arrayRemap::setRemapped	Reorder the elements of the input array according to the input index array, such that   array = array(index) or,   array = array(index(size(index):1:-1)) if action = reverse or,   arrayNew = array(index) if arrayNew is specified as input argument or,   arrayNew = array(index(size(index):1:-1)) if arrayNew and action = reverse are specified as input arguments,
Cpm_arrayRemove::setRemoved	Return the remaining parts of the input array as a sequence after removing the input pattern at the requested occurrences
Cpm_arrayReplace::setReplaced	Replace the requested instances of the input pattern with the input replacement in the allocatable input/output array
Cpm_arrayResize::setResized	Allocate or resize (shrink or expand) an input allocatable scalar string or array of rank 1..3 to an arbitrary size while preserving the original contents or a subset of it.
Cpm_arrayReverse::setReversed	Reverse the order of the elements of the input array, such that   array = array(lenArray:1:-1),   where lenArray = len(array) if array is a scalar character, or lenArray = size(array) is an array of rank 1
Cpm_sampleWeight::setReweight	Generate and return a reweighting of the input weight vector, such that the sequence represented by output reweight is the refined (skipped by the amount skip) version of the sequence represented by the input weight.
Cpm_sampleCor::setRho	Return the Spearman rank correlation matrix of the input (weighted) sample of shape (ndim, nsam) or (nsam, ndim) or the Spearman rank correlation coefficient a pair of (weighted) time series x(1:nsam) and y(1:nsam) where ndim is the number of data dimensions (the number of data attributes) and nsam is the number of data points.
Cpm_mathRoot::setRoot	Return a root of a specified continuous real-valued one-dimensional mathematical function such that \(f(\mathrm{root}) = 0\) with the user-specified or the default root-finding method.
Cpm_sampleScale::setScaled	Return a sample of shape (nsam), or (ndim, nsam) or (nsam, ndim) that is scaled by the specified input amount along the specified axis dim.
Cpm_arraySelect::setSelected	Return the rankth smallest (or ordered) value in the input array by first sorting its elements in ascending order (optionally only between the specified indices [lb, ub]).
Cpm_quadPack::setSeqLimEps	Return the limit of a given sequence of approximations via the Epsilon method of Wynn (1961)
Cpm_sampleShift::setShifted	Return a sample of shape (nsam), or (ndim, nsam) or (nsam, ndim) that is shifted by the specified input amount along the specified axis dim.
Cpm_arrayShuffle::setShuffled	Perform an unbiased random shuffling of the input array, known as the Knuth or Fisher-Yates shuffle
Cpm_arraySort::setSorted	Sort the input scalar string or contiguous vector in ascending order, or return the sorted indices of the input scalar string or contiguous array of rank 1 in ascending order or in the user-specified order
Cpm_arraySplit::setSplit	Return the parts of the input array split at the requested occurrences of the input sep
Cpm_val2str::setStr	Generate and return the conversion of the input value to an output Fortran string, possibly with the requested format and sign symbol, if provided
Cpm_strASCII::setStrLower	Replace all uppercase English alphabets in the input string with the corresponding lowercase English letters.
Cpm_strASCII::setStrQuoted	Return the input string quoted with double-quotation marks where all instances of double-quotations within the input string are escaped in the Fortran-style.
Cpm_strASCII::setStrUpper	Replace all lowercase English alphabets in the input string with the corresponding uppercase English letters.
Cpm_swap::setSwapped	Return the two input scalar or array values a and b while their values are swapped.
Cpm_bench::setTiming	Time the user-specified procedure wrapper in the parent object of type bench_type and store the output benchmark timing information and statistics implicitly in the timing component of the input/output bench_type object.
Cpm_distUnif::setUnifCDF	Return the Cumulative Distribution Function (CDF) of a univariate Standard Uniform distribution or a Uniform distribution with the specified support via lower and upper input arguments at the specified input values
Cpm_distUnifEll::setUnifEllRand	Return a (collection) of random vector(s) of size ndim from the ndim-dimensional MultiVariate Uniform Ellipsoidal (MVUE) distribution, optionally with the specified input mean(1:ndim) and the specified subset of the Cholesky Factorization of the Gramian matrix of the MVUE distribution
Cpm_distUnifElls::setUnifEllsRand	Return a collection of random vectors of size ndim from the ndim-dimensional Multiple MultiVariate Uniform Ellipsoidal (MMVUE) distribution, with the specified input mean(1:ndim, 1:nell) and optionally the specified subset of the Cholesky Factorization of the Gramian matrices of the MMVUE distribution.
Cpm_distUnifPar::setUnifParRand	Return a random vector from the \(\ndim\)-dimensional MultiVariate Uniform Parallelepiped (MVUP) Distribution.
Cpm_distUnif::setUnifRand	Return a uniform random scalar or contiguous array of arbitrary rank of randomly uniformly distributed discrete logical, integer, character value(s), or continuous real or `complex value(s) within the specified input range
Cpm_distUnif::setUnifRandState	Set the state of the Fortran default random number generator (RNG) to a random value or to an optionally deterministic, optionally processor-dependent value based on the user-specified input scalar seed and processor ID
Cpm_distUnifSphere::setUnifSphereRand	Return a (collection) of random vector(s) of size ndim uniformly distributed on the surface of an \(n\)-sphere, optionally with the specified input mean(1:ndim) and optionally affine-transformed to a non-uniform distribution on the surface of an \((n+1)\)-ellipsoid represented by the Cholesky Factorization of its Gramian matrix
Cpm_arrayUnique::setUnique	Return a vector of unique values in the input array in place of the array itself.
Cpm_sampleVar::setVar	Return the variance of an input (weighted) sample of type complex or real of shape (nsam) or (ndim, nsam) or (nsam, ndim) where ndim is the number of data dimensions (the number of data attributes) and nsam is the number of data points.
Cpm_sampleVar::setVarMean	Return the (weighted) sample variance and mean of an input time series of nsam observations, or of an input sample of nsam observations with ndim attributes optionally weighted by the input weight, optionally also sum(weight).
Cpm_sampleVar::setVarMeanMerged	Return the (weighted) merged variance and mean of a complex or real sample resulting from the merger of two separate (weighted) samples \(A\) and \(B\).
Cpm_sampleVar::setVarMerged	Return the (weighted) merged variance of a complex or real sample resulting from the merger of two separate (weighted) samples \(A\) and \(B\).
Cpm_cosmology::setVolComDiffNormed	Generate and return the cosmological Comoving Volume Differential (Element) per unit solid angle of the sky (i.e., 1 Steradian normalized to Hubble Volume, given the user-specified cosmological parameters
Cpm_ellipsoid::setVolUnitBall	Return the volume of an \(\ndim\)-dimensional ball of unit-radius
Cpm_err::setWarned	Write the input string in the format of a warning to the output.
Cpm_sysShell::shell_type	This is the shell_type class for generating objects to determine the runtime shell type of the operating system
Cpm_sysShell::shellis_type	This is the shellis_type class for generating objects with logical components to determine the runtime shell type of the operating system
Cpm_err::show	Generate and return an object of type stop_type with the user-specified input attributes
Cpm_io::show	This is a generic method of the derived type display_type with pass attribute.
Cpm_bench::showsum	Time the user-specified procedure wrappers in the case vector component of the parent object of type benchMulti_type and store the output benchmark timing information and statistics implicitly in the timing component of the object
►Cpm_array::side_type	This is an abstract derived type for constructing concrete derived types to distinguish various procedure signatures that require different forms of array sides (left, right, leftRight, ...).
Cpm_array::leftRight_type	This is a concrete derived type whose instances are exclusively used to request left-and-right sides of a given array within an interface of a procedure of the ParaMonte library.
Cpm_array::left_type	This is a concrete derived type whose instances are exclusively used to request left side of a given array within an interface of a procedure of the ParaMonte library.
Cpm_array::right_type	This is a concrete derived type whose instances are exclusively used to request the right side of a given array within an interface of a procedure of the ParaMonte library.
Cpm_io::skip	This is a generic method of the derived type display_type with pass attribute.
►Cpm_arraySort::sort_type
Cpm_arraySort::bubble_type
►Cpm_arraySort::heap_type
Cpm_arraySort::heapi_type
Cpm_arraySort::heapr_type
►Cpm_arraySort::insertion_type
Cpm_arraySort::insertionb_type
Cpm_arraySort::insertionl_type
Cpm_arraySort::merger_type
►Cpm_arraySort::qsort_type
Cpm_arraySort::qsorti_type
Cpm_arraySort::qsortr_type
Cpm_arraySort::qsortrdp_type
Cpm_arraySort::selection_type
Cpm_arraySort::shell_type
Cpm_distUnif::splitmix64_typer	Generate, initialize, and return a scalar object of type splitmix64_type
Cpm_sampleScale::stdscale_type	This is the derived type whose instances are meant to signify a sample scaling by an amount equal to the inverse of the sample standard deviation or an equivalent measure.
Cpm_mathCompare::strong_type	This is an empty derived type that is exclusively used to differentiate the procedures within the generic interface isClose().
Cpm_strANSI::styleSeq_type	This is the styleSeq_type Parameterized Derived Type (PDT) for styling Fortran scalar strings of arbitrary kinds according to the conventions set by the ANSI. This derived type contains only a minimal subset of the standard recognized by the terminals and terminal emulators, in particular, DEC VT100
►Cpm_matrixSubset::subset_type	This is an abstract derived type for constructing concrete derived types to distinguish various procedure signatures that require different forms of storage (upper-diagonal triangular, lower-diagonal triangular, ...).
Cpm_matrixSubset::dia_type	This is a concrete derived type whose instances are exclusively used to request unit (or Identity or diagonal) storage format of a given matrix within an interface of a procedure of the ParaMonte library.
Cpm_matrixSubset::lowDia_type	This is a concrete derived type whose instances are exclusively used to request lower-diagonal triangular storage format of a given matrix within an interface of a procedure of the ParaMonte library.
Cpm_matrixSubset::low_type	This is a concrete derived type whose instances are exclusively used to request lower-triangular storage format of a given matrix within an interface of a procedure of the ParaMonte library.
Cpm_matrixSubset::uppDia_type	This is a concrete derived type whose instances are exclusively used to request upper-diagonal triangular storage format of a given matrix within an interface of a procedure of the ParaMonte library.
Cpm_matrixSubset::uppLowDia_type	This is a concrete derived type whose instances are exclusively used to request full diagonal and upper-lower triangular (excluding diagonal) storage format of a given matrix within an interface of a procedure of the ParaMonte library.
Cpm_matrixSubset::uppLow_type	This is a concrete derived type whose instances are exclusively used to request upper-lower triangular (excluding diagonal) storage format of a given matrix within an interface of a procedure of the ParaMonte library.
Cpm_matrixSubset::upp_type	This is a concrete derived type whose instances are exclusively used to request upper-triangular storage format of a given matrix within an interface of a procedure of the ParaMonte library.
►Cpm_mathSum::sum_type
Cpm_mathSum::fablocked_type	This is a concrete derived type whose instances are exclusively used to request the Fast Accurate Blocked summation method of Blanchard, Higham, and Mary, 2020 within the generic interfaces of the ParaMonte library.
Cpm_mathSum::kahanbabu_type	This is a concrete derived type whose instances are exclusively used to request the Kahan-Babuska summation method within the generic interfaces of the ParaMonte library.
Cpm_mathSum::nablocked_type	This is a concrete derived type whose instances are exclusively used to request the Naive Blocked summation method of Blanchard, Higham, and Mary, 2020 within the generic interfaces of the ParaMonte library.
Cpm_quadTest::test_getQuadErr	Run the adaptive global quadrature methods for the specified input integrand object
Cpm_quadTest::test_isFailedQuad	Run the adaptive global quadrature methods for the specified input integrand object
Cpm_test::test_type	This is the derived type test_type for generating objects that facilitate testing of a series of procedures or concepts within a unified testing framework
►Cpm_timer::timer_type	This is the abstract base derived type that serves as a simple container template for other timer classes in the ParaMonte library
Cpm_timer::timerCPU_type	This is the timerCPU_type class, containing attributes and static methods for setting up a timer based on the CPU-clock, using the Fortran intrinsic cpu_time()
Cpm_timer::timerDAT_type	This is the timerDAT_type class, containing attributes and static methods for setting up a timer based on the system-clock, using the Fortran intrinsic date_and_time()
Cpm_timer::timerMPI_type	This is the timerMPI_type class, containing attributes and static methods for setting up a timer based on the MPI intrinsic MPI_Wtime()
Cpm_timer::timerOMP_type	This is the timerMPI_type class, containing attributes and static methods for setting up a timer based on the OpenMP intrinsic omp_get_wtime()
Cpm_timer::timerSYS_type	This is the timerSYS_type class, containing attributes and static methods for setting up a timer based on the system-clock, using the Fortran intrinsic system_clock()
Cpm_dateTime::timeZone_type	This is the derived type for generating object parameters containing a list of time zones and their representative abbreviations.
Cpm_bench::timing_type	This is the base class for creating objects that hold the timing information of a benchmark and the timing statistics
►Cpm_matrixTrans::trans_type	This is a derived type for constructing concrete derived types to distinguish various procedure signatures that require different forms of transposition (Symmetric, Hermitian, ...).
Cpm_matrixTrans::transHermSkew_type	This is a concrete derived type whose instances are exclusively used to request Skew-Hermitian transpose ( \(-\cdot^H\)) of a given matrix within an interface of a procedure of the ParaMonte library.
Cpm_matrixTrans::transHerm_type	This is a concrete derived type whose instances are exclusively used to request Hermitian (conjugate) transpose ( \(\cdot^H\)) of a given matrix within an interface of a procedure of the ParaMonte library.
Cpm_matrixTrans::transOrth_type	This is a concrete derived type whose instances are exclusively used to request Orthogonal Transpose ( \(\cdot^-T\)) of a given matrix within an interface of a procedure of the ParaMonte library.
Cpm_matrixTrans::transSymmSkew_type	This is a concrete derived type whose instances are exclusively used to request Skew-Symmetric transpose ( \(-\cdot^T\)) of a given matrix within an interface of a procedure of the ParaMonte library.
Cpm_matrixTrans::transSymm_type	This is a concrete derived type whose instances are exclusively used to request Symmetric transpose ( \(\cdot^T\)) of a given matrix within an interface of a procedure of the ParaMonte library.
Cpm_matrixTrans::transUnit_type	This is a concrete derived type whose instances are exclusively used to request Unitary Transpose ( \(\cdot^{-H}\)) of a given matrix within an interface of a procedure of the ParaMonte library.
Cpm_quadRomb::ubis_type	This is the indicator type for generating instances of objects that indicate the integration interval is open and, the integrand has an Integrable square-root type of Singularity at the finite Lower Bound of integration (LBIS)
Cpm_physUnit::uncertain_type	This the derived type for constructing physical constants or unit conversions that are uncertain
Cpm_sysPath::verbatim_type	This is the derived type with no components, whose instantiated objects are used to signify the verbatim interpretation of paths when passed to various procedures within the ParaMonte library.
Cpm_quadPack::wcauchy_type	This is the derived type for constructing objects that signify the computation of the Cauchy Principal Value of arbitrary function whose Cauchy singularities is stored in the cs components of the objects of this type.
Cpm_quadPack::wcos_type	This is the derived type for constructing objects that signify the computation of the integral of an arbitrary Cose-weighted function
Cpm_mathCompare::weak_type	This is an empty derived type that is exclusively used to differentiate the procedures within the generic interface isClose().
►Cpm_sampleWeight::weight_type	This is an abstract derived type for constructing concrete derived types to distinguish various procedure signatures that require different sample weights (e.g., fweight, aweight, rweight, ...).
Cpm_sampleWeight::aweight_type	This is a concrete derived type whose instances are exclusively used to signify the aweight type of sample weights.
Cpm_sampleWeight::fweight_type	This is a concrete derived type whose instances are exclusively used to signify the fweight type of sample weights.
Cpm_sampleWeight::rweight_type	This is a concrete derived type whose instances are exclusively used to signify the rweight type of sample weights.
Cpm_quadPack::weps_type	This is the indicator type for generating instances of objects that indicate the use of Epsilon extrapolation method of Wynn (1961) to accelerate the convergence of integrations of functions with integrable singularities and infinities using the (Adaptive) Global Gauss-Kronrod Quadrature of getQuadErr
Cpm_io::wrap	This is a generic method of the derived type display_type with pass attribute.
Cpm_io::wrap_type	This is the derived type for constructing objects that contain the specifications of the getStrWrapped dynamic method of objects of derived type wrap_type.
Cpm_quadPack::wsin_type	This is the derived type for constructing objects that signify the computation of the integral of an arbitrary Sine-weighted function
Cpm_distUnif::xoshiro256ssg_typer	Generate, initialize, and return a scalar object of type xoshiro256ssg_type
Cpm_distUnif::xoshiro256ssw_typer	Generate, initialize, and return a scalar object of type xoshiro256ssw_type
Cpm_sampleNorm::zscore_type	This is the derived type whose instances are meant to signify a sample shifting by an amount equal to the negative of the sample mean and scaling the result by an amount equal to the inverse of the sample standard deviation or an equivalent measure.