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clust.bin.pair  

Statistical Methods for Analyzing Clustered Matched Pair Data
View on CRAN: Click here


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

Install from Github:
library("remotes")
install_github("cran/clust.bin.pair")

Install by package version:
library("remotes")
install_version("clust.bin.pair", "0.1.2")



Attach the package and use:
library("clust.bin.pair")
Maintained by
Dan Gopstein
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-10-26
Latest Update: 2018-02-15
Description:
Tests, utilities, and case studies for analyzing significance in clustered binary matched-pair data. The central function clust.bin.pair uses one of several tests to calculate a Chi-square statistic. Implemented are the tests Eliasziw (1991) , Obuchowski (1998) , Durkalski (2003) , and Yang (2010) with McNemar (1947) included for comparison. The utility functions nested.to.contingency and paired.to.contingency convert data between various useful formats. Thyroids and psychiatry are the canonical datasets from Obuchowski and Petryshen (1989) respectively.
How to cite:
Dan Gopstein (2016). clust.bin.pair: Statistical Methods for Analyzing Clustered Matched Pair Data. R package version 0.1.2, https://cran.r-project.org/web/packages/clust.bin.pair. Accessed 06 Nov. 2024.
Previous versions and publish date:
0.0.6 (2016-10-26 10:37)
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Complete documentation for clust.bin.pair
Functions, R codes and Examples using the clust.bin.pair R package
Some associated functions: clust.bin.pair . nested.to.contingency . obfuscation . paired.to.contingency . psychiatry . thyroids . 
Some associated R codes: clust.bin.pair.R . data-obfuscation.R . data-psychiatry.R . data-thyroids.R . durkalski.R . eliasziw.R . mcnemar.R . obuchowski.R . util.R . yang.R .  Full clust.bin.pair package functions and examples
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