Package: discretefit
Title: Simulated Goodness-of-Fit Tests for Discrete Distributions
Version: 0.1.2
Authors@R: 
    person(given = "Josh",
           family = "McCormick",
           role = c("aut", "cre"),
           email = "josh.mccormick@aya.yale.edu")
Description: 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>.
License: MIT + file LICENSE
URL: https://github.com/josh-mc/discretefit
BugReports: https://github.com/josh-mc/discretefit/issues
Encoding: UTF-8
RoxygenNote: 7.1.1
LinkingTo: Rcpp
Imports: Rcpp
Suggests: knitr, dgof, cvmdisc, bench, testthat (>= 3.0.0), rmarkdown
Config/testthat/edition: 3
VignetteBuilder: knitr
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2022-01-25 18:18:03 UTC; Josh
Author: Josh McCormick [aut, cre]
Maintainer: Josh McCormick <josh.mccormick@aya.yale.edu>
Repository: CRAN
Date/Publication: 2022-01-25 23:52:50 UTC
Built: R 4.5.2; x86_64-w64-mingw32; 2025-11-08 02:20:12 UTC; windows
Archs: x64
