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-4.5-noble)PoissonMultinomial_1.1.tar.gz(r-4.4-noble)
PoissonMultinomial_1.1.tgz(r-4.4-emscripten)PoissonMultinomial_1.1.tgz(r-4.3-emscripten)
PoissonMultinomial.pdf |PoissonMultinomial.html✨
PoissonMultinomial/json (API)

# Install 'PoissonMultinomial' in R:
install.packages('PoissonMultinomial', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • fftw3– Library for computing Fast Fourier Transforms
  • c++– GNU Standard C++ Library v3

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 177 downloads 3 exports 3 dependencies

Last updated 1 years agofrom:7c40b52e07. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 25 2024
R-4.5-linux-x86_64OKDec 25 2024

Exports:dpmdppmdrpmd

Dependencies:mvtnormRcppRcppArmadillo