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, Obuchowski, Durkalski, and Yang with McNemar 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 respectively.

Version: 0.0.6
Depends: R (≥ 3.2.4)
Suggests: testthat
Published: 2016-10-26
Author: Dan Gopstein [aut, cre]
Maintainer: Dan Gopstein <dan at gopstein.com>
BugReports: https://github.com/dgopstein/clust.bin.pair/issues
License: MIT + file LICENSE
URL: https://github.com/dgopstein/clust.bin.pair
NeedsCompilation: no
Materials: README
CRAN checks: clust.bin.pair results

Downloads:

Reference manual: clust.bin.pair.pdf
Package source: clust.bin.pair_0.0.6.tar.gz
Windows binaries: r-devel: clust.bin.pair_0.0.6.zip, r-release: clust.bin.pair_0.0.6.zip, r-oldrel: clust.bin.pair_0.0.6.zip
OS X El Capitan binaries: r-release: clust.bin.pair_0.0.6.tgz
OS X Mavericks binaries: r-oldrel: clust.bin.pair_0.0.6.tgz

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