Overview | Favourable and unfavourable outcomes | Examples | A six-level ordered outcome | Comparison with Whitehead's method | Comparison with psamsize from Hmisc | Non-inferiority trials | Non-proportional odds | Cumulative probabilities | Working with the results | References
Package: artcatr 0.1.0
André Moser
artcatr: Sample Size and Power for an Ordered Categorical Outcome
Sample size and power calculations for a two-group randomized trial with an ordinal outcome analysed by a proportional-odds model. Implements the 'ologit' method of White, Marley-Zagar, Morris, Parmar, Royston & Babiker (2023) <doi:10.1177/1536867X231161934> in R.
Authors:
artcatr_0.1.0.tar.gz
artcatr_0.1.0.zip(r-4.7-any)artcatr_0.1.0.zip(r-4.6-any)artcatr_0.1.0.zip(r-4.5-any)
artcatr_0.1.0.tgz(r-4.6-any)artcatr_0.1.0.tgz(r-4.5-any)
artcatr_0.1.0.tar.gz(r-4.7-any)artcatr_0.1.0.tar.gz(r-4.6-any)
artcatr_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
artcatr/json (API)
| # Install 'artcatr' in R: |
| install.packages('artcatr', repos = c('https://dcr-unibe-ch.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dcr-unibe-ch/artcatr/issues
Pkgdown/docs site:https://dcr-unibe-ch.github.io
Last updated from:ce92e673d5. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | NOTE | 129 | ||
| source / vignettes | OK | 225 | ||
| linux-release | NOTE | 179 | ||
| macos-release | NOTE | 88 | ||
| macos-oldrel | NOTE | 71 | ||
| windows-devel | NOTE | 71 | ||
| windows-release | NOTE | 94 | ||
| windows-oldrel | NOTE | 64 | ||
| wasm-release | OK | 112 |
Exports:artcatr
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Sample size / power for a randomized trial with an ordered categorical outcome, analysed by the proportional-odds model | artcatr |
| Print an 'artcatr' object | print.artcatr |
| Print a 'summary.artcatr' object | print.summary.artcatr |
| Tidy summary table of anticipated probabilities from an 'artcatr' object | summary.artcatr |