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.
- Version0.1.2
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?Yes
- Last release01/25/2022
Documentation
Team
Josh McCormick
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