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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>.

Versions across snapshots

VersionRepositoryFileSize
0.1.3 rolling linux/jammy R-4.5 discretefit_0.1.3.tar.gz 97.3 KiB
0.1.3 rolling linux/noble R-4.5 discretefit_0.1.3.tar.gz 98.9 KiB
0.1.3 rolling source/ R- discretefit_0.1.3.tar.gz 24.4 KiB
0.1.3 latest linux/jammy R-4.5 discretefit_0.1.3.tar.gz 97.3 KiB
0.1.3 latest linux/noble R-4.5 discretefit_0.1.3.tar.gz 98.9 KiB
0.1.3 latest source/ R- discretefit_0.1.3.tar.gz 24.4 KiB
0.1.3 2026-04-26 source/ R- discretefit_0.1.3.tar.gz 24.4 KiB
0.1.3 2026-04-23 source/ R- discretefit_0.1.3.tar.gz 24.4 KiB
0.1.3 2026-04-09 windows/windows R-4.5 discretefit_0.1.3.zip 424.9 KiB
0.1.2 2025-04-20 source/ R- discretefit_0.1.2.tar.gz 30.1 KiB

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