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
| Version | Repository | File | Size |
|---|---|---|---|
0.1.3 |
2026-04-09 windows/windows R-4.5 | discretefit_0.1.3.zip |
424.9 KiB |