The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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
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:

Please use the canonical form https://CRAN.R-project.org/package=ExactMultinom to link to this page.

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.
Health stats visible at Monitor.