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>.
| Version: | 0.1.2 |
| Imports: | Rcpp |
| LinkingTo: | Rcpp |
| Suggests: | knitr, dgof, cvmdisc, bench, testthat (≥ 3.0.0), rmarkdown |
| Published: | 2022-01-25 |
| Author: | Josh McCormick [aut, cre] |
| Maintainer: | Josh McCormick <josh.mccormick at aya.yale.edu> |
| BugReports: | https://github.com/josh-mc/discretefit/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/josh-mc/discretefit |
| NeedsCompilation: | yes |
| SystemRequirements: | C++11 |
| Materials: | README NEWS |
| CRAN checks: | discretefit results |
| Reference manual: | discretefit.pdf |
| Vignettes: |
package_introduction |
| Package source: | discretefit_0.1.2.tar.gz |
| Windows binaries: | r-devel: discretefit_0.1.2.zip, r-release: discretefit_0.1.2.zip, r-oldrel: discretefit_0.1.2.zip |
| macOS binaries: | r-release (arm64): discretefit_0.1.2.tgz, r-oldrel (arm64): discretefit_0.1.2.tgz, r-release (x86_64): discretefit_0.1.2.tgz, r-oldrel (x86_64): discretefit_0.1.2.tgz |
| Old sources: | discretefit archive |
| Reverse imports: | terminaldigits |
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