XNomial: Exact Goodness-of-Fit Test for Multinomial Data with Fixed Probabilities

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
Depends: R (≥ 2.14)
Suggests: knitr
Published: 2015-12-24
Author: Bill Engels
Maintainer: Bill Engels <wrengels at wisc.edu>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: yes
CRAN checks: XNomial results

Documentation:

Reference manual: XNomial.pdf
Vignettes: XNomial

Downloads:

Package source: XNomial_1.0.4.tar.gz
Windows binaries: r-devel: XNomial_1.0.4.zip, r-release: XNomial_1.0.4.zip, r-oldrel: XNomial_1.0.4.zip
macOS binaries: r-release (arm64): XNomial_1.0.4.tgz, r-oldrel (arm64): XNomial_1.0.4.tgz, r-release (x86_64): XNomial_1.0.4.tgz
Old sources: XNomial archive

Reverse dependencies:

Reverse imports: POMS

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