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CoinMinD  

Simultaneous Confidence Intervals for Multinomial Proportions
View on CRAN: Click here


Download and install CoinMinD package within the R console
Install from CRAN:
install.packages("CoinMinD")

Install from Github:
library("remotes")
install_github("cran/CoinMinD")

Install by package version:
library("remotes")
install_version("CoinMinD", "1.2.1")



Attach the package and use:
library("CoinMinD")
Maintained by
Subbiah M
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-10-15
Latest Update: 2025-10-15
Description:
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.
How to cite:
Subbiah M (2025). CoinMinD: Simultaneous Confidence Intervals for Multinomial Proportions. R package version 1.2.1, https://cran.r-project.org/web/packages/CoinMinD. Accessed 12 Mar. 2026.
Previous versions and publish date:
1.0 (2013-04-23 21:19), 1.1 (2013-05-28 10:31)
Other packages that cited CoinMinD R package
View CoinMinD citation profile
Other R packages that CoinMinD depends, imports, suggests or enhances
Complete documentation for CoinMinD
Functions, R codes and Examples using the CoinMinD R package
Full CoinMinD package functions and examples
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