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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: | 1.2.7 |
Imports: | Rcpp (≥ 1.0.11) |
LinkingTo: | Rcpp |
Suggests: | knitr, rmarkdown, microbenchmark |
Published: | 2024-09-17 |
DOI: | 10.32614/CRAN.package.PoissonBinomial |
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 |
Reference manual: | PoissonBinomial.pdf |
Vignettes: |
Efficient Computation of Ordinary and Generalized Poisson Binomial Distributions (source, R code) Approximate Procedures (source, R code) Exact Procedures (source, R code) Usage with Rcpp (source, R code) |
Package source: | PoissonBinomial_1.2.7.tar.gz |
Windows binaries: | r-devel: PoissonBinomial_1.2.7.zip, r-release: PoissonBinomial_1.2.7.zip, r-oldrel: PoissonBinomial_1.2.7.zip |
macOS binaries: | r-release (arm64): PoissonBinomial_1.2.7.tgz, r-oldrel (arm64): PoissonBinomial_1.2.7.tgz, r-release (x86_64): PoissonBinomial_1.2.7.tgz, r-oldrel (x86_64): PoissonBinomial_1.2.7.tgz |
Old sources: | PoissonBinomial archive |
Reverse depends: | Rediscover |
Reverse imports: | FDX |
Reverse linking to: | FDX, surveyvoi |
Reverse suggests: | distributions3, surveyvoi |
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.