Package: discretefit 0.1.2

Josh McCormick

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>.

Authors:Josh McCormick [aut, cre]

discretefit_0.1.2.tar.gz
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discretefit.pdf |discretefit.html
discretefit/json (API)
NEWS

# Install 'discretefit' in R:
install.packages('discretefit', repos = c('https://josh-mc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/josh-mc/discretefit/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

4.18 score 1 stars 1 packages 6 scripts 253 downloads 6 exports 1 dependencies

Last updated 3 years agofrom:5a08081d05. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 17 2024
R-4.5-win-x86_64NOTENov 17 2024
R-4.5-linux-x86_64NOTENov 17 2024
R-4.4-win-x86_64NOTENov 17 2024
R-4.4-mac-x86_64NOTENov 17 2024
R-4.4-mac-aarch64NOTENov 17 2024
R-4.3-win-x86_64NOTENov 17 2024
R-4.3-mac-x86_64NOTENov 17 2024
R-4.3-mac-aarch64NOTENov 17 2024

Exports:chisq_gofcvm_gofft_gofg_gofks_gofrms_gof

Dependencies:Rcpp

Introducing discretefit

Rendered frompackage_introduction.Rmdusingknitr::rmarkdownon Nov 17 2024.

Last update: 2022-01-24
Started: 2021-09-21