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PoissonMultinomial  

The Poisson-Multinomial Distribution
View on CRAN: Click here


Download and install PoissonMultinomial package within the R console
Install from CRAN:
install.packages("PoissonMultinomial")

Install from Github:
library("remotes")
install_github("cran/PoissonMultinomial")

Install by package version:
library("remotes")
install_version("PoissonMultinomial", "1.1")



Attach the package and use:
library("PoissonMultinomial")
Maintained by
Yili Hong
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-13
Latest Update: 2023-12-07
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) .
How to cite:
Yili Hong (2022). PoissonMultinomial: The Poisson-Multinomial Distribution. R package version 1.1, https://cran.r-project.org/web/packages/PoissonMultinomial. Accessed 28 Aug. 2026.
Previous versions and publish date:
(2026-07-09 08:17), 1.0 (2022-01-13 21:22)
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View PoissonMultinomial citation profile
Other R packages that PoissonMultinomial depends, imports, suggests or enhances
Complete documentation for PoissonMultinomial
Functions, R codes and Examples using the PoissonMultinomial R package
Some associated functions: dpmd . ppmd . rpmd . 
Some associated R codes: Poisson-Multinomial_functions.R . RcppExports.R . non-exported_functions.R .  Full PoissonMultinomial package functions and examples
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