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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