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 root-mean-square statistic, the Chi-squared statistic, the log-likelihood-ratio statistic (G^2), and the Kolmogorov-Smirnov statistic.

Version: 0.0.0
Imports: Rcpp
LinkingTo: Rcpp
Suggests: knitr, dgof, RVAideMemoire, bench, testthat (≥ 3.0.0), rmarkdown
Published: 2021-10-08
Author: Josh McCormick [aut, cre]
Maintainer: Josh McCormick <josh.mccormick at aya.yale.edu>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: README
CRAN checks: discretefit results

Downloads:

Reference manual: discretefit.pdf
Vignettes: package_introduction
Package source: discretefit_0.0.0.tar.gz
Windows binaries: r-devel: discretefit_0.0.0.zip, r-devel-UCRT: discretefit_0.0.0.zip, r-release: discretefit_0.0.0.zip, r-oldrel: discretefit_0.0.0.zip
macOS binaries: r-release (arm64): not available, r-release (x86_64): discretefit_0.0.0.tgz, r-oldrel: discretefit_0.0.0.tgz

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