nose: Classification of Sparseness in 2-by-2 Categorical Data

Provides functions for classifying sparseness in 2 x 2 categorical data where one or more cells have zero counts. The classification uses three widely applied summary measures: Risk Difference (RD), Relative Risk (RR), and Odds Ratio (OR). Helps in selecting suitable continuity corrections for zero cells in multi-centre or meta-analysis studies. Also supports sensitivity analysis and can detect phenomena such as Simpson's paradox. The methodology is based on Subbiah and Srinivasan (2008) <doi:10.1016/j.spl.2008.06.023>.

Version:	1.0.5
Published:	2025-10-06
DOI:	10.32614/CRAN.package.nose
Author:	Subbiah M [aut, cre]
Maintainer:	Subbiah M <sisufive at gmail.com>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	nose results

Documentation:

Reference manual:

nose.html , nose.pdf

Downloads:

Package source:	nose_1.0.5.tar.gz
Windows binaries:	r-devel: nose_1.0.5.zip, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): nose_1.0.5.tgz, r-oldrel (x86_64): nose_1.0.5.tgz
Old sources:	nose archive

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