Package: CRTSize 1.2
Michael A Rotondi
CRTSize: Sample Size Estimation Functions for Cluster Randomized Trials
Sample size estimation in cluster (group) randomized trials. Contains traditional power-based methods, empirical smoothing (Rotondi and Donner, 2009), and updated meta-analysis techniques (Rotondi and Donner, 2012).
Authors:
CRTSize_1.2.tar.gz
CRTSize_1.2.tar.gz(r-4.7-any)CRTSize_1.2.tar.gz(r-4.6-any)
CRTSize_1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
CRTSize/json (API)
| # Install 'CRTSize' in R: |
| install.packages('CRTSize', repos = c('https://cran.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:0c7bab5850. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 106 | ||
| source / vignettes | OK | 122 | ||
| linux-release-x86_64 | OK | 115 | ||
| wasm-release | OK | 86 |
Exports:n4incidencen4meansn4meansEBn4meansMetan4propsn4propsEBn4propsMetaprint.n4incidenceprint.n4meansprint.n4meansEBprint.n4meansMetaprint.n4propsprint.n4propsEBprint.n4propsMetasummary.n4incidencesummary.n4meanssummary.n4meansEBsummary.n4meansMetasummary.n4propssummary.n4propsEBsummary.n4propsMeta
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Number of Subjects Required for a Cluster Randomized Trial Comparing Incidence Rates | n4incidence print.n4incidence summary.n4incidence |
| Number of Subjects Required for a Cluster Randomized Trial with a Continuous Outcome | n4means print.n4means summary.n4means |
| Number of Subjects Required for a Cluster Randomized Trial with a Continuous Outcome Using Empirical Smoothing | n4meansEB print.n4meansEB summary.n4meansEB |
| Empirical Power and Variance Reduction for an Updated Fixed Effects Meta-Analysis in Cluster Randomized Trials | n4meansMeta print.n4meansMeta summary.n4meansMeta |
| Number of Subjects Required for a Cluster Randomized Trial with a Binary Outcome | n4props print.n4props summary.n4props |
| Number of Subjects Required for a Cluster Randomized Trial with Binary Outcomes Using Empirical Smoothing | n4propsEB print.n4propsEB summary.n4propsEB |
| Empirical Power and Variance Reduction of an Updated Fixed Effects Meta-Analysis with Binary Outcomes | n4propsMeta print.n4propsMeta summary.n4propsMeta |