Exact Goodness-of-Fit Test for Multinomial Data with Fixed Probabilities R package XNomial version 1.0.4.1 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. Software Depends: R (>= 2.14) Suggests: knitr Bill Engels <wrengels@wisc.edu> Comprehensive R Archive Network (CRAN) Bill Engels [aut, cre] GPL 2024-11-05 application/tgz https://CRAN.R-project.org/package=XNomial doi:10.32614/CRAN.package.XNomial