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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.5 |
rolling linux/jammy R-4.5 | nose_1.0.5.tar.gz |
22.9 KiB |
1.0.5 |
rolling linux/noble R-4.5 | nose_1.0.5.tar.gz |
22.6 KiB |
1.0.5 |
rolling source/ R- | nose_1.0.5.tar.gz |
3.0 KiB |
1.0.5 |
latest linux/jammy R-4.5 | nose_1.0.5.tar.gz |
22.9 KiB |
1.0.5 |
latest linux/noble R-4.5 | nose_1.0.5.tar.gz |
22.6 KiB |
1.0.5 |
latest source/ R- | nose_1.0.5.tar.gz |
3.0 KiB |
1.0.5 |
2026-04-26 source/ R- | nose_1.0.5.tar.gz |
3.0 KiB |
1.0.5 |
2026-04-23 source/ R- | nose_1.0.5.tar.gz |
3.0 KiB |
1.0.5 |
2026-04-09 windows/windows R-4.5 | nose_1.0.5.zip |
25.3 KiB |