Package: PoissonBinomial 1.2.7

Florian Junge

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.

Authors:Florian Junge [aut, cre]

PoissonBinomial_1.2.7.tar.gz
PoissonBinomial_1.2.7.tar.gz(r-4.5-noble)PoissonBinomial_1.2.7.tar.gz(r-4.4-noble)
PoissonBinomial_1.2.7.tgz(r-4.4-emscripten)PoissonBinomial_1.2.7.tgz(r-4.3-emscripten)
PoissonBinomial.pdf |PoissonBinomial.html✨
PoissonBinomial/json (API)
NEWS

# Install 'PoissonBinomial' in R:

install.packages('PoissonBinomial', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/fj86/poissonbinomial/issues

Uses libs:

fftw3– Library for computing Fast Fourier Transforms
c++– GNU Standard C++ Library v3

3.86 score 2 packages 10 scripts 1.5k downloads 8 exports 1 dependencies

Last updated 1 months agofrom:a2ee8bfc4e. Checks:OK: 2. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Oct 18 2024
R-4.5-linux-x86_64	OK	Oct 18 2024

Exports:dgpbinom dpbinom pgpbinom ppbinom qgpbinom qpbinom rgpbinom rpbinom

Dependencies:Rcpp

Approximate Procedures

Rendered fromproc_approx.Rmdusingknitr::rmarkdownon Oct 18 2024.

Last update: 2023-11-30
Started: 2020-02-17

Efficient Computation of Ordinary and Generalized Poisson Binomial Distributions

Rendered fromintro.Rmdusingknitr::rmarkdownon Oct 18 2024.

Last update: 2020-11-25
Started: 2020-02-17

Exact Procedures

Rendered fromproc_exact.Rmdusingknitr::rmarkdownon Oct 18 2024.

Last update: 2023-11-30
Started: 2020-02-17

Usage with Rcpp

Rendered fromuse_with_rcpp.Rmdusingknitr::rmarkdownon Oct 18 2024.