Package: nose 1.0.5
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>.
Authors:
nose_1.0.5.tar.gz
nose_1.0.5.zip(r-4.7)nose_1.0.5.zip(r-4.6)nose_1.0.5.zip(r-4.5)
nose_1.0.5.tgz(r-4.6-any)nose_1.0.5.tgz(r-4.5-any)
nose_1.0.5.tar.gz(r-4.7-any)nose_1.0.5.tar.gz(r-4.6-any)
nose_1.0.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
nose/json (API)
| # Install 'nose' in R: |
| install.packages('nose', repos = c('https://rudth.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:087c42e2fa. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 98 | ||
| source / vignettes | OK | 129 | ||
| linux-release-x86_64 | OK | 100 | ||
| macos-release-arm64 | OK | 71 | ||
| macos-oldrel-arm64 | OK | 100 | ||
| windows-devel | OK | 64 | ||
| windows-release | OK | 56 | ||
| windows-oldrel | OK | 59 | ||
| wasm-release | OK | 73 |
Dependencies:
