Package: nbconv 2.0.0

nbconv: Evaluate Arbitrary Negative Binomial Convolutions

Five distinct methods are implemented for evaluating the sums of arbitrary negative binomial distributions. These methods are: Furman's exact series representation (Furman (2007) <doi:10.1016/j.spl.2006.06.007>), an FFT-based approach, a "hybrid" approach that uses FFT for non-extreme probabilities and falls back to the series representation for extremely low probabilities, saddlepoint approximation, and a method-of-moments approximation. Functions are provided to calculate probability masses, cumulative probabilities, and quantiles of the convolutions in question using said evaluation methods. Functions for generating random deviates from negative binomial convolutions and for directly calculating the mean, variance, skewness, and excess kurtosis from cumulants are also provided.

Authors:Gregory Bedwell [aut, cre, cph]

nbconv_2.0.0.tar.gz
nbconv_2.0.0.zip(r-4.7)nbconv_2.0.0.zip(r-4.6)nbconv_2.0.0.zip(r-4.5)
nbconv_2.0.0.tgz(r-4.6-any)nbconv_2.0.0.tgz(r-4.5-any)
nbconv_2.0.0.tar.gz(r-4.7-any)nbconv_2.0.0.tar.gz(r-4.6-any)
nbconv_2.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
nbconv/json (API)
NEWS

# Install 'nbconv' in R:
install.packages('nbconv', repos = c('https://gbedwell.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/gbedwell/nbconv/issues

On CRAN:

Conda:

2.70 score 3 scripts 197 downloads 5 exports 2 dependencies

Last updated from:8671c70736. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE101
source / vignettesOK160
linux-release-x86_64NOTE101
macos-release-arm64NOTE122
macos-oldrel-arm64NOTE179
windows-develNOTE64
windows-releaseNOTE58
windows-oldrelNOTE68
wasm-releaseOK93

Exports:dnbconvnbconv_paramspnbconvqnbconvrnbconv

Dependencies:fftwmatrixStats