Statistical Methods for Analyzing Clustered Matched Pair Data R package clust.bin.pair version 0.1.2 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. Software Depends: R (>= 3.2.4) Suggests: testthat Dan Gopstein <dan@gopstein.com> Comprehensive R Archive Network (CRAN) Dan Gopstein [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=clust.bin.pair/LICENSE) 2018-02-15 application/tgz https://CRAN.R-project.org/package=clust.bin.pair doi:10.32614/CRAN.package.clust.bin.pair