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Computes p-values of multinomial goodness-of-fit tests based on an additive statistic: the log-likelihood ratio, Pearson's chi-squared, the Cressie-Read power divergence, and the exact multinomial test. The main function, pval_fourier(), writes the p-value as a Fourier series in the moment-generating function of the statistic and sums it until an adaptive stopping rule is met, which makes small p-values of large instances computationally feasible. The function pval_exact() computes the exact p-value by branch pruning with bounds from a dynamic program, and pval_flexible() chooses between the two according to the size of the instance.
| Version: | 1.0 |
| Imports: | parallel |
| Suggests: | knitr, rmarkdown, ggplot2 |
| Published: | 2026-10-29 |
| DOI: | 10.32614/CRAN.package.MultinomFourier |
| Author: | Charles Thraves [aut], Pablo Rivas [aut, cre], Felipe Subiabre [aut] |
| Maintainer: | Pablo Rivas <pablo.rivas.g at ug.uchile.cl> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | MultinomFourier results |
| Reference manual: | MultinomFourier.html , MultinomFourier.pdf |
| Vignettes: |
Detecting Unusual Polling-Station Results with MultinomFourier (source, R code) |
| Package source: | MultinomFourier_1.0.tar.gz |
| Windows binaries: | r-devel: MultinomFourier_1.0.zip, r-release: MultinomFourier_1.0.zip, r-oldrel: MultinomFourier_1.0.zip |
| macOS binaries: | r-release (arm64): MultinomFourier_1.0.tgz, r-oldrel (arm64): MultinomFourier_1.0.tgz, r-release (x86_64): MultinomFourier_1.0.tgz, r-oldrel (x86_64): MultinomFourier_1.0.tgz |
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