The nose package consists of a collection of three functions for classifying sparseness in typical 2 x 2 data sets with at least one cell should have zero count. These functions are based on the three widely applied summary measures for 2 x 2 categorical data viz, Risk Difference (RD), Relative Risk (RR), Odds Ratio (OR). This package helps to identify suitable continuity correction for zero cells when a multi centre analysis or a meta analysis is carried out. Further, it can be considered as a tool for sensitivity analysis for adding a continuity correction and to identify the presence of Simpson's paradox.
Version: | 1.0 |
Published: | 2012-12-19 |
Author: | originally written by Subbiah M packaged by Sumathi R with considerable contributions by Srinivasan M R |
Maintainer: | Sumathi R <sumathimr at yahoo.co.in> |
License: | GPL-2 |
NeedsCompilation: | no |
CRAN checks: | nose results |
Reference manual: | nose.pdf |
Package source: | nose_1.0.tar.gz |
Windows binaries: | r-devel: nose_1.0.zip, r-release: nose_1.0.zip, r-oldrel: nose_1.0.zip |
macOS binaries: | r-release: nose_1.0.tgz, r-oldrel: nose_1.0.tgz |
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