## 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 |

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