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:Michael A Rotondi <[email protected]>

CRTSize_1.2.tar.gz
CRTSize_1.2.tar.gz(r-4.5-noble)CRTSize_1.2.tar.gz(r-4.4-noble)
CRTSize_1.2.tgz(r-4.4-emscripten)CRTSize_1.2.tgz(r-4.3-emscripten)
CRTSize.pdf |CRTSize.html
CRTSize/json (API)

# Install 'CRTSize' in R:
install.packages('CRTSize', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.86 score 12 scripts 367 downloads 6 mentions 21 exports 0 dependencies

Last updated 2 years agofrom:0c7bab5850. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-linuxOKNov 03 2024

Exports:n4incidencen4meansn4meansEBn4meansMetan4propsn4propsEBn4propsMetaprint.n4incidenceprint.n4meansprint.n4meansEBprint.n4meansMetaprint.n4propsprint.n4propsEBprint.n4propsMetasummary.n4incidencesummary.n4meanssummary.n4meansEBsummary.n4meansMetasummary.n4propssummary.n4propsEBsummary.n4propsMeta

Dependencies: