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ExactMultinom: Multinomial Goodness-of-Fit Tests

Computes exact p-values for multinomial goodness-of-fit tests based on multiple test statistics, namely, Pearson's chi-square, the log-likelihood ratio and the probability mass statistic. Implements the algorithm detailed in Resin (2020) <doi:10.48550/arXiv.2008.12682>. Estimates based on the classical asymptotic chi-square approximation or Monte-Carlo simulation can also be computed.

Version: 0.1.2
Imports: Rcpp (≥ 1.0.4), stats
LinkingTo: Rcpp
Published: 2020-09-04
DOI: 10.32614/CRAN.package.ExactMultinom
Author: Johannes Resin
Maintainer: Johannes Resin <johannes.resin at h-its.org>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: ExactMultinom results

Documentation:

Reference manual: ExactMultinom.pdf

Downloads:

Package source: ExactMultinom_0.1.2.tar.gz
Windows binaries: r-devel: ExactMultinom_0.1.2.zip, r-release: ExactMultinom_0.1.2.zip, r-oldrel: ExactMultinom_0.1.2.zip
macOS binaries: r-release (arm64): ExactMultinom_0.1.2.tgz, r-oldrel (arm64): ExactMultinom_0.1.2.tgz, r-release (x86_64): ExactMultinom_0.1.2.tgz, r-oldrel (x86_64): ExactMultinom_0.1.2.tgz
Old sources: ExactMultinom archive

Reverse dependencies:

Reverse imports: CalSim

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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