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:
discretefit_0.1.2.tar.gz
discretefit_0.1.2.zip(r-4.5)discretefit_0.1.2.zip(r-4.4)discretefit_0.1.2.zip(r-4.3)
discretefit_0.1.2.tgz(r-4.5-x86_64)discretefit_0.1.2.tgz(r-4.5-arm64)discretefit_0.1.2.tgz(r-4.4-x86_64)discretefit_0.1.2.tgz(r-4.4-arm64)discretefit_0.1.2.tgz(r-4.3-arm64)discretefit_0.1.2.tgz(r-4.3-x86_64)
discretefit_0.1.2.tar.gz(r-4.5-noble)discretefit_0.1.2.tar.gz(r-4.4-noble)
discretefit_0.1.2.tgz(r-4.4-emscripten)discretefit_0.1.2.tgz(r-4.3-emscripten)
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')) |
Bug tracker:https://github.com/josh-mc/discretefit/issues
Last updated 3 years agofrom:5a08081d05. Checks:1 OK, 11 NOTE. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 17 2025 |
R-4.5-win-x86_64 | NOTE | Mar 17 2025 |
R-4.5-mac-x86_64 | NOTE | Mar 17 2025 |
R-4.5-mac-aarch64 | NOTE | Mar 17 2025 |
R-4.5-linux-x86_64 | NOTE | Mar 17 2025 |
R-4.4-win-x86_64 | NOTE | Mar 17 2025 |
R-4.4-mac-x86_64 | NOTE | Mar 17 2025 |
R-4.4-mac-aarch64 | NOTE | Mar 17 2025 |
R-4.4-linux-x86_64 | NOTE | Mar 17 2025 |
R-4.3-win-x86_64 | NOTE | Mar 17 2025 |
R-4.3-mac-aarch64 | NOTE | Mar 17 2025 |
R-4.3-mac-x86_64 | NOTE | Feb 15 2025 |
Exports:chisq_gofcvm_gofft_gofg_gofks_gofrms_gof
Dependencies:Rcpp