Simulated Goodness-of-Fit Tests for Discrete Distributions R package discretefit version 0.1.3 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>. Software Imports: Rcpp LinkingTo: Rcpp Suggests: knitr, dgof, cvmdisc, bench, testthat (>= 3.0.0), rmarkdown Josh McCormick <josh.mccormick@aya.yale.edu> Comprehensive R Archive Network (CRAN) Josh McCormick [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=discretefit/LICENSE) 2025-12-18 application/tgz https://CRAN.R-project.org/package=discretefit doi:10.32614/CRAN.package.discretefit