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Tests whether a set of counts fit a given expected ratio. For example, a genetic cross might be expected to produce four types in the relative frequencies of 9:3:3:1. To see whether a set of observed counts fits this expectation, one can examine all possible outcomes with xmulti() or a random sample of them with xmonte() and find the probability of an observation deviating from the expectation by at least as much as the observed. As a measure of deviation from the expected, one can use the log-likelihood ratio, the multinomial probability, or the classic chi-square statistic. A histogram of the test statistic can also be plotted and compared with the asymptotic curve.
| Version: | 1.0.4.1 |
| Depends: | R (≥ 2.14) |
| Suggests: | knitr |
| Published: | 2024-11-05 |
| DOI: | 10.32614/CRAN.package.XNomial |
| Author: | Bill Engels [aut, cre] |
| Maintainer: | Bill Engels <wrengels at wisc.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: | yes |
| CRAN checks: | XNomial results |
| Reference manual: | XNomial.pdf |
| Vignettes: |
XNomial (source, R code) |
| Package source: | XNomial_1.0.4.1.tar.gz |
| Windows binaries: | r-devel: XNomial_1.0.4.1.zip, r-release: XNomial_1.0.4.1.zip, r-oldrel: XNomial_1.0.4.1.zip |
| macOS binaries: | r-release (arm64): XNomial_1.0.4.1.tgz, r-oldrel (arm64): XNomial_1.0.4.1.tgz, r-release (x86_64): XNomial_1.0.4.1.tgz, r-oldrel (x86_64): XNomial_1.0.4.1.tgz |
| Old sources: | XNomial archive |
| Reverse imports: | POMS |
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