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<1495::AID-SIM863>3.0.CO;2-I1097-0258(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.
- Version0.1.2
- R version≥ 3.2.4
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release02/15/2018
Documentation
Team
Dan Gopstein
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Dependencies
- Suggests1 package