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CorrBin  

Nonparametrics with Clustered Binary and Multinomial Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("CorrBin", "1.6.2")



Attach the package and use:
library("CorrBin")
Maintained by
Aniko Szabo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-10-29
Latest Update: 2024-08-30
Description:
Implements non-parametric analyses for clustered binary and multinomial data. The elements of the cluster are assumed exchangeable, and identical joint distribution (also known as marginal compatibility, or reproducibility) is assumed for clusters of different sizes. A trend test based on stochastic ordering is implemented. Szabo A, George EO. (2010) ; George EO, Cheon K, Yuan Y, Szabo A (2016) .
How to cite:
Aniko Szabo (2012). CorrBin: Nonparametrics with Clustered Binary and Multinomial Data. R package version 1.6.2, https://cran.r-project.org/web/packages/CorrBin. Accessed 05 Aug. 2026.
Previous versions and publish date:
1.02 (2012-10-29 08:56), 1.3 (2012-11-09 04:07), 1.4 (2013-12-12 15:26), 1.5 (2015-01-05 07:45), 1.6.1 (2023-09-29 09:40), 1.6 (2019-03-06 23:54), (2026-07-09 08:01)
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Complete documentation for CorrBin
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