Efficient Computation of Ordinary and Generalized 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 generalized Poisson binomial distribution.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.2.4 by Florian Junge, 6 months ago

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

Authors: Florian Junge [aut, cre]

Documentation:   PDF Manual  

Task views: Probability Distributions

GPL (>= 2) license

Imports Rcpp

Suggests knitr, rmarkdown, microbenchmark

Linking to Rcpp

System requirements: fftw3 (>= 3.3)

Imported by FDX, backbone.

Depended on by Rediscover.

See at CRAN