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ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
See the latest version documentation. |
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Data Types | |
type | pm_distBeta::distBeta_type |
This is the derived type for signifying distributions that are of type Beta as defined in the description of pm_distBeta. More... | |
interface | pm_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]. More... | |
interface | pm_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). More... | |
interface | pm_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). More... | |
interface | pm_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. More... | |
interface | pm_distBeta::setBetaCDF |
Return the CDF of the Beta distribution for the given parameters (\alpha, \beta) as defined in the details section of pm_distBeta. More... | |
interface | pm_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) . More... | |
Modules | |
module | pm_distBeta |
This module contains classes and procedures for computing various statistical quantities related to the Beta distribution. | |
Variables | |
character(*, SK), parameter | pm_distBeta::MODULE_NAME = "@pm_distBeta" |