ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
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Data Types | |
interface | pm_sampleVar::getVarCorrection |
Generate and return the bias correction factor for the computation of the variance of a (weighted) sample. More... | |
interface | pm_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.More... | |
interface | pm_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.More... | |
interface | pm_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) .More... | |
interface | pm_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 \(B\).More... | |
interface | pm_sampleVar::setVarMerged |
Return the (weighted) merged variance of a complex or real sample resulting from the merger of two separate (weighted) samples \(A\) and \(B\).More... | |
interface | pm_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 \(B\).More... | |
Modules | |
module | pm_sampleVar |
This module contains classes and procedures for computing the properties related to the covariance matrices of a random sample. | |
Variables | |
character(*, SK), parameter | pm_sampleVar::MODULE_NAME = "@pm_sampleVar" |