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CoinMinD: Simultaneous Confidence Intervals for Multinomial Proportions

Several authors have proposed methods for constructing simultaneous confidence intervals for multinomial proportions. The package implements seven classical approaches—Wilson, Quesenberry and Hurst, Goodman, Wald (with and without continuity correction), Fitzpatrick and Scott, and Sison and Glaz—along with Bayesian methods based on Dirichlet models. Both equal and unequal Dirichlet priors are supported, providing a broad framework for inference, data analysis, and sensitivity evaluation.

Version: 1.2.1
Depends: R (≥ 4.0.0), MCMCpack
Published: 2025-10-15
DOI: 10.32614/CRAN.package.CoinMinD
Author: Subbiah M [aut, cre]
Maintainer: Subbiah M <sisufive at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: CoinMinD results

Documentation:

Reference manual: CoinMinD.html , CoinMinD.pdf

Downloads:

Package source: CoinMinD_1.2.1.tar.gz
Windows binaries: r-devel: CoinMinD_1.2.1.zip, r-release: CoinMinD_1.2.1.zip, r-oldrel: CoinMinD_1.2.1.zip
macOS binaries: r-release (arm64): CoinMinD_1.2.1.tgz, r-oldrel (arm64): CoinMinD_1.2.1.tgz, r-release (x86_64): CoinMinD_1.2.1.tgz, r-oldrel (x86_64): CoinMinD_1.2.1.tgz
Old sources: CoinMinD archive

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.