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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 + file LICENSE
URL: https://github.com/josh-mc/discretefit
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README NEWS
CRAN checks: discretefit results

Documentation:

Reference manual: discretefit.pdf
Vignettes: package_introduction

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 form https://CRAN.R-project.org/package=discretefit 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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