PoissonBinomial: Efficient Computation of Ordinary and Generalized Poisson Binomial 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 generalized Poisson binomial distribution.

Version: 1.1.0
Imports: Rcpp (≥ 1.0.3)
LinkingTo: Rcpp, BH
Suggests: knitr, rmarkdown, microbenchmark
Published: 2020-03-28
Author: Florian Junge [aut, cre]
Maintainer: Florian Junge <florian.junge at h-da.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
SystemRequirements: fftw3 (>= 3.3)
Materials: NEWS
CRAN checks: PoissonBinomial results

Downloads:

Reference manual: PoissonBinomial.pdf
Vignettes: Efficient Computation of Ordinary and Generalized Poisson Binomial Distributions
Approximate Procedures
Exact Procedures
Usage with Rcpp
Package source: PoissonBinomial_1.1.0.tar.gz
Windows binaries: r-prerelease: PoissonBinomial_1.1.0.zip, r-release: PoissonBinomial_1.1.0.zip, r-oldrel: PoissonBinomial_1.1.0.zip
macOS binaries: r-prerelease: PoissonBinomial_1.1.0.tgz, r-release: PoissonBinomial_1.1.0.tgz, r-oldrel: PoissonBinomial_1.0.2-1.tgz
Old sources: PoissonBinomial archive

Reverse dependencies:

Reverse imports: FDX
Reverse linking to: FDX

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