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discretefit: Simulated Goodness-of-Fit Tests for Discrete Distributions

Implements fast Monte Carlo simulations for goodness-of-fit (GOF) tests for discrete distributions. This includes tests based on the Chi-squared statistic, the log-likelihood-ratio (G^2) statistic, the Freeman-Tukey (Hellinger-distance) statistic, the Kolmogorov-Smirnov statistic, the Cramer-von Mises statistic as described in Choulakian, Lockhart and Stephens (1994) <doi:10.2307/3315828>, and the root-mean-square statistic, see Perkins, Tygert, and Ward (2011) <doi:10.1016/j.amc.2011.03.124>.

Version:0.1.2
Imports:Rcpp
LinkingTo:Rcpp
Suggests:knitr,dgof,cvmdisc,bench,testthat (≥ 3.0.0),rmarkdown
Published:2022-01-25
DOI:10.32614/CRAN.package.discretefit
Author:Josh McCormick [aut, cre]
Maintainer:Josh McCormick <josh.mccormick at aya.yale.edu>
BugReports:https://github.com/josh-mc/discretefit/issues
License:MIT + fileLICENSE
URL:https://github.com/josh-mc/discretefit
NeedsCompilation:yes
SystemRequirements:C++11
Materials:README,NEWS
CRAN checks:discretefit results[issues need fixing before 2025-12-18]

Documentation:

Reference manual:discretefit.html ,discretefit.pdf
Vignettes:package_introduction (source,R code)

Downloads:

Package source: discretefit_0.1.2.tar.gz
Windows binaries: r-devel:discretefit_0.1.2.zip, r-release:discretefit_0.1.2.zip, r-oldrel:discretefit_0.1.2.zip
macOS binaries: r-release (arm64):discretefit_0.1.2.tgz, r-oldrel (arm64):discretefit_0.1.2.tgz, r-release (x86_64):discretefit_0.1.2.tgz, r-oldrel (x86_64):discretefit_0.1.2.tgz
Old sources: discretefit archive

Reverse dependencies:

Reverse imports:terminaldigits

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=discretefitto link to this page.


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