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.

Author | Bill Engels <wrengels@wisc.edu> |

Date of publication | 2015-12-24 08:19:02 |

Maintainer | Bill Engels <wrengels@wisc.edu> |

License | GPL |

Version | 1.0.4 |

XNomial

XNomial/inst

XNomial/inst/doc

XNomial/inst/doc/XNomial.Rmd

XNomial/inst/doc/XNomial.R

XNomial/inst/doc/XNomial.html

XNomial/src

XNomial/src/XNenumerated.c

XNomial/src/XNmonte.c

XNomial/NAMESPACE

XNomial/R

XNomial/R/xmonte.R
XNomial/R/xmulti.R
XNomial/R/xtras.R
XNomial/vignettes

XNomial/vignettes/XNomial.Rmd

XNomial/vignettes/XNomial.md

XNomial/MD5

XNomial/build

XNomial/build/vignette.rds

XNomial/DESCRIPTION

XNomial/man

XNomial/man/xmulti.Rd
XNomial/man/xmonte.Rd
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