Package: XNomial
Type: Package
Title: Exact Goodness-of-Fit Test for Multinomial Data with Fixed
        Probabilities
Version: 1.0.4
Date: 2015-12-22
Author: Bill Engels <wrengels@wisc.edu>
Maintainer: Bill Engels <wrengels@wisc.edu>
Description: 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.
VignetteBuilder: knitr
Depends: R (>= 2.14)
Suggests: knitr
NeedsCompilation: yes
License: GPL
RoxygenNote: 5.0.0
Packaged: 2015-12-23 23:08:28 UTC; WRE
Repository: CRAN
Date/Publication: 2015-12-24 08:19:02
Built: R 4.0.2; x86_64-w64-mingw32; 2020-08-02 07:15:56 UTC; windows
Archs: i386, x64
