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

Implements 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: 0.1.1
Imports: Rcpp
LinkingTo: Rcpp
Suggests: knitr, dgof, cvmdisc, bench, testthat (≥ 3.0.0), rmarkdown
Published: 2021-10-30
Author: Josh McCormick [aut, cre]
Maintainer: Josh McCormick <josh.mccormick at aya.yale.edu>
License: MIT + file LICENSE
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README NEWS
CRAN checks: discretefit results


Reference manual: discretefit.pdf
Vignettes: package_introduction


Package source: discretefit_0.1.1.tar.gz
Windows binaries: r-devel: discretefit_0.1.0.zip, r-devel-UCRT: discretefit_0.1.0.zip, r-release: discretefit_0.1.0.zip, r-oldrel: discretefit_0.1.0.zip
macOS binaries: r-release (arm64): discretefit_0.1.1.tgz, r-release (x86_64): discretefit_0.1.0.tgz, r-oldrel: discretefit_0.1.0.tgz
Old sources: discretefit archive


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