ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
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Data Types | |
type | pm_distGamma::distGamma_type |
This is the derived type for signifying distributions that are of type Gamma as defined in the description of pm_distGamma. More... | |
interface | pm_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 \((\kappa,\sigma)\). More... | |
interface | pm_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 \(x \in (0,+\infty)\). More... | |
interface | pm_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 \(x \in (0,+\infty)\).More... | |
interface | pm_distGamma::getGammaCDF |
Generate and return the Cumulative Distribution Function (CDF) of the Gamma distribution for an input x within the support of the distribution \(x \in (0,+\infty)\). More... | |
interface | pm_distGamma::setGammaCDF |
Return the Cumulative Distribution Function (CDF) of the Gamma distribution for an input x within the support of the distribution \(x \in (0,+\infty)\). More... | |
interface | pm_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) . More... | |
Modules | |
module | pm_distGamma |
This module contains classes and procedures for computing various statistical quantities related to the Gamma distribution. | |
Variables | |
character(*, SK), parameter | pm_distGamma::MODULE_NAME = "@pm_distGamma" |