Package: rmass2 0.0.0.2

rmass2: Repeated Measures with Attrition: Sample Sizes and Power Levels for 2 Groups

For the calculation of sample size or power in a two-group repeated measures design, accounting for attrition and accommodating a variety of correlation structures for the repeated measures; details of the method can be found in the scientific paper: Donald Hedeker, Robert D. Gibbons, Christine Waternaux (1999) <doi:10.3102/10769986024001070>.

Authors:Yiheng Wei [aut], Soumya Sahu [aut, cre], Donald Hedeker [aut]

rmass2_0.0.0.2.tar.gz
rmass2_0.0.0.2.zip(r-4.7-any)rmass2_0.0.0.2.zip(r-4.6-any)rmass2_0.0.0.2.zip(r-4.5-any)
rmass2_0.0.0.2.tgz(r-4.6-any)rmass2_0.0.0.2.tgz(r-4.5-any)
rmass2_0.0.0.2.tar.gz(r-4.7-any)rmass2_0.0.0.2.tar.gz(r-4.6-any)
rmass2_0.0.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
rmass2/json (API)

# Install 'rmass2' in R:

install.packages('rmass2', repos = c('https://soumyasahu.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

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

2.00 score 1 stars 4 scripts 217 downloads 1 exports 0 dependencies

Last updated from:facb640638. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	105
source / vignettes	OK	145
linux-release	OK	102
macos-release	OK	145
macos-oldrel	OK	187
windows-devel	OK	74
windows-release	OK	61
windows-oldrel	OK	68
wasm-release	OK	102