clust.bin.pair: Statistical Methods for Analyzing Clustered Matched Pair Data

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) <doi:10.1002/sim.4780101211>, Obuchowski (1998) <doi:10.1002/(SICI)1097-0258(19980715)17:13%3C1495::AID-SIM863%3E3.0.CO;2-I>, Durkalski (2003) <doi:10.1002/sim.1438>, and Yang (2010) <doi:10.1002/bimj.201000035> with McNemar (1947) <doi:10.1007/BF02295996> 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) <doi:10.1016/0165-1781(89)90196-0> respectively.

Getting started

Package details

AuthorDan Gopstein [aut, cre]
MaintainerDan Gopstein <[email protected]>
LicenseMIT + file LICENSE
Version0.1.2
URL https://github.com/dgopstein/clust.bin.pair
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("clust.bin.pair")

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clust.bin.pair documentation built on Feb. 16, 2018, 1:03 a.m.