Efficient Computation of Ordinary and Generalised Poisson Binomial Distributions

Efficient implementations of multiple exact and approximate methods as described in Hong (2013) , Biscarri, Zhao & Brunner (2018) and Zhang, Hong & Balakrishnan (2018) 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.


Reference manual

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install.packages("PoissonBinomial")

1.2.8 by Florian Junge, 7 months ago


https://github.com/fj86/PoissonBinomial


Report a bug at https://github.com/fj86/PoissonBinomial/issues


Browse source code at https://github.com/cran/PoissonBinomial


Authors: Florian Junge [aut, cre] (ORCID:


Documentation:   PDF Manual  


GPL-3 license


Imports Rcpp

Suggests knitr, rmarkdown, microbenchmark

Linking to Rcpp

System requirements: fftw3 (>= 3.3)


Imported by FDX, netcutter.

Depended on by Rediscover.

Suggested by distributions3, surveyvoi.


See at CRAN