ParaMonte Fortran 2.0.0 Parallel Monte Carlo and Machine Learning LibrarySee the latest version documentation.
pm_distPois.F90 File Reference

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## Data Types

type  pm_distPois::distPois_type
This is the derived type for signifying distributions that are of type Poisson as defined in the description of pm_distPois. More...

interface  pm_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 $$[0, +\infty)$$. More...

interface  pm_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 $$[0, +\infty)$$. More...

interface  pm_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 $$[0, +\infty)$$. More...

interface  pm_distPois::setPoisCDF
Return the Cumulative Distribution Function (CDF) of the Poisson distribution. More...

interface  pm_distPois::getPoisRand
Generate and return a scalar (or array of arbitrary rank of) random value(s) from the Poisson distribution.
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interface  pm_distPois::setPoisRand
Return a scalar (or array of arbitrary rank of) random value(s) from the Poisson distribution.
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## Modules

module  pm_distPois
This module contains classes and procedures for computing various statistical quantities related to the Poisson distribution.

## Variables

character(*, SK), parameter pm_distPois::MODULE_NAME = "@pm_distPois"

real(RKB), parameter pm_distPois::LAMBDA_LIMIT = 10._RKB
The constant scalar of type real of kind RKB, representing the value of the parameter of the Poisson distribution above which the rejection method of Hormann, 1993, The transformed rejection method for generating Poisson random variables for generating Poisson-distributed random values is valid.
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