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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>.
Getting started
Browse package contents
Package details |
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| Author | Josh McCormick [aut, cre] |
| Maintainer | Josh McCormick <josh.mccormick@aya.yale.edu> |
| License | MIT + file LICENSE |
| Version | 0.1.2 |
| URL | https://github.com/josh-mc/discretefit |
| Package repository | View on CRAN |
| Installation |
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