Package: PoissonMultinomial 1.1

Yili Hong

PoissonMultinomial: The Poisson-Multinomial Distribution

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) <doi:10.1007/s00180-022-01299-0>.

Authors:Yili Hong [aut, cre], Zhengzhi Lin [aut, ctb], Yueyao Wang [aut, ctb], Florian Junge [aut, ctb]

PoissonMultinomial_1.1.tar.gz
PoissonMultinomial_1.1.tar.gz(r-4.7-arm64)PoissonMultinomial_1.1.tar.gz(r-4.7-x86_64)PoissonMultinomial_1.1.tar.gz(r-4.6-arm64)PoissonMultinomial_1.1.tar.gz(r-4.6-x86_64)
PoissonMultinomial_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
PoissonMultinomial/json (API)

# Install 'PoissonMultinomial' in R:
install.packages('PoissonMultinomial', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • fftw3– Library for computing Fast Fourier Transforms
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

fftw3cpp

1.00 score 1 stars 1 scripts 177 downloads 3 exports 3 dependencies

Last updated from:7c40b52e07. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK136
linux-devel-x86_64OK111
source / vignettesOK167
linux-release-arm64OK115
linux-release-x86_64OK110
wasm-releaseOK111

Exports:dpmdppmdrpmd

Dependencies:mvtnormRcppRcppArmadillo