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MultinomialCI  

Simultaneous Confidence Intervals for Multinomial Proportions According to the Method by Sison and Glaz
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MultinomialCI", "1.2")



Attach the package and use:
library("MultinomialCI")
Maintained by
Pablo J. Villacorta
[Scholar Profile | Author Map]
First Published: 2012-12-07
Latest Update: 2021-05-11
Description:
An implementation of a method for building simultaneous confidence intervals for the probabilities of a multinomial distribution given a set of observations, proposed by Sison and Glaz in their paper: Sison, C.P and J. Glaz. Simultaneous confidence intervals and sample size determination for multinomial proportions. Journal of the American Statistical Association, 90:366-369 (1995). The method is an R translation of the SAS code implemented by May and Johnson in their paper: May, W.L. and W.D. Johnson. Constructing two-sided simultaneous confidence intervals for multinomial proportions for small counts in a large number of cells. Journal of Statistical Software 5(6) (2000). Paper and code available at .
How to cite:
Pablo J. Villacorta (2012). MultinomialCI: Simultaneous Confidence Intervals for Multinomial Proportions According to the Method by Sison and Glaz. R package version 1.2, https://cran.r-project.org/web/packages/MultinomialCI. Accessed 10 Apr. 2025.
Previous versions and publish date:
1.0 (2012-12-07 14:15), 1.1 (2019-09-07 23:20)
Other packages that cited MultinomialCI R package
View MultinomialCI citation profile
Other R packages that MultinomialCI depends, imports, suggests or enhances
Complete documentation for MultinomialCI
Functions, R codes and Examples using the MultinomialCI R package
Some associated functions: multinomialCI . 
Some associated R codes: aux-fn.R . sison.R .  Full MultinomialCI package functions and examples
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