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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: 1.2.6
Imports: Rcpp (≥ 1.0.11)
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, microbenchmark
Published: 2023-11-29
Author: Florian Junge [aut, cre]
Maintainer: Florian Junge <florian.junge at mailbox.org>
BugReports: https://github.com/fj86/PoissonBinomial/issues
License: GPL-3
URL: https://github.com/fj86/PoissonBinomial
NeedsCompilation: yes
SystemRequirements: fftw3 (>= 3.3)
Language: en-US
Materials: NEWS
In views: Distributions
CRAN checks: PoissonBinomial results

Documentation:

Reference manual: PoissonBinomial.pdf
Vignettes: Efficient Computation of Ordinary and Generalized Poisson Binomial Distributions
Approximate Procedures
Exact Procedures
Usage with Rcpp

Downloads:

Package source: PoissonBinomial_1.2.6.tar.gz
Windows binaries: r-devel: PoissonBinomial_1.2.6.zip, r-release: PoissonBinomial_1.2.6.zip, r-oldrel: PoissonBinomial_1.2.6.zip
macOS binaries: r-release (arm64): PoissonBinomial_1.2.6.tgz, r-oldrel (arm64): PoissonBinomial_1.2.6.tgz, r-release (x86_64): PoissonBinomial_1.2.6.tgz, r-oldrel (x86_64): PoissonBinomial_1.2.6.tgz
Old sources: PoissonBinomial archive

Reverse dependencies:

Reverse depends: Rediscover
Reverse imports: FDX
Reverse linking to: FDX, surveyvoi
Reverse suggests: surveyvoi

Linking:

Please use the canonical form https://CRAN.R-project.org/package=PoissonBinomial to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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