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PoissonMultinomial (version 1.1)

The Poisson-Multinomial Distribution

Description

Implementation of the exact, normal approximation, and simulation-based methods for computing the probability mass function (pmf) and cumulative distribution function (cdf) of the Poisson-Multinomial distribution, together with a random number generator for the distribution. The exact method is based on multi-dimensional fast Fourier transformation (FFT) of the characteristic function of the Poisson-Multinomial distribution. The normal approximation method uses a multivariate normal distribution to approximate the pmf of the distribution based on central limit theorem. The simulation method is based on the law of large numbers. Details about the methods are available in Lin, Wang, and Hong (2022) .

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Version

Install

install.packages('PoissonMultinomial')

Monthly Downloads

202

Version

1.1

License

GPL (>= 2)

Maintainer

Yili Hong

Last Published

December 7th, 2023

Functions in PoissonMultinomial (1.1)

dpmd

Probability Mass Function of Poisson-Multinomial Distribution
ppmd

Cumulative Distribution Function of Poisson-Multinomial Distribution
rpmd

Poisson-Multinomial Distribution Random Number Generator