Efficient Computation of Ordinary and Generalised Poisson Binomial Distributions R package PoissonBinomial version 1.2.8 CRAN Task View: Distributions (https://CRAN.R-project.org/view=Distributions) Efficient implementations of multiple exact and approximate methods as described in Hong (2013) <doi:10.1016/j.csda.2012.10.006>, Biscarri, Zhao & Brunner (2018) <doi:10.1016/j.csda.2018.01.007> and Zhang, Hong & Balakrishnan (2018) <doi:10.1080/00949655.2018.1440294> for computing the probability mass, cumulative distribution and quantile functions, as well as generating random numbers for both the ordinary and generalised Poisson binomial distribution. Software Imports: Rcpp (>= 1.0.11) LinkingTo: Rcpp Suggests: knitr, rmarkdown, microbenchmark Florian Junge <florian.junge@mailbox.org> Comprehensive R Archive Network (CRAN) Florian Junge [aut, cre] (ORCID: <https://orcid.org/0009-0001-6856-6938>) GPL-3 2026-03-06 application/tgz https://CRAN.R-project.org/package=PoissonBinomial doi:10.32614/CRAN.package.PoissonBinomial en-GB