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
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:

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