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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 |
| Reference manual: | nose.html , nose.pdf |
| Package source: | nose_1.0.5.tar.gz |
| Windows binaries: | r-devel: nose_1.0.5.zip, r-release: not available, r-oldrel: nose_1.0.5.zip |
| macOS binaries: | r-release (arm64): nose_1.0.5.tgz, r-oldrel (arm64): nose_1.0.5.tgz, 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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These binaries (installable software) and packages are in development.
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