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multChernoff: Finite-Sample Tail Bound of Likelihood Ratio Test under Multinomial Sampling

Computes a finite-sample tail bound for the log-likelihood ratio test (LRT) statistic under multinomial sampling. The resulting bound is used to compute finite-sample conservative p-values and critical values when the standard chi-squared asymptotics can be unreliable. The package also supports multiple independent multinomial trials.

Version: 1.0.0
Imports: plyr
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-03-21
DOI: 10.32614/CRAN.package.multChernoff
Author: Richard Guo [aut, cre, cph], Ivana Liu [aut]
Maintainer: Richard Guo <ricguo at umich.edu>
BugReports: https://github.com/richardkwo/multChernoff/issues
License: MIT + file LICENSE
URL: https://github.com/richardkwo/multChernoff
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: multChernoff results

Documentation:

Reference manual: multChernoff.html , multChernoff.pdf
Vignettes: multChernoff: Get Started (source, R code)

Downloads:

Package source: multChernoff_1.0.0.tar.gz
Windows binaries: r-devel: multChernoff_1.0.0.zip, r-release: multChernoff_1.0.0.zip, r-oldrel: multChernoff_1.0.0.zip
macOS binaries: r-release (arm64): multChernoff_1.0.0.tgz, r-oldrel (arm64): multChernoff_1.0.0.tgz, r-release (x86_64): multChernoff_1.0.0.tgz, r-oldrel (x86_64): multChernoff_1.0.0.tgz

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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