Package: WRestimates 0.1.0

Autumn ODonnell

WRestimates: Sample Size, Power and CI for the Win Ratio

Calculates non-parametric estimates of the sample size, power and confidence intervals for the win-ratio. For more detail on the theory behind the methodologies implemented see Yu, R. X. and Ganju, J. (2022) <doi:10.1002/sim.9297>.

Authors:Autumn O'Donnell [aut, cre, cph]

WRestimates_0.1.0.tar.gz
WRestimates_0.1.0.tar.gz(r-4.5-noble)WRestimates_0.1.0.tar.gz(r-4.4-noble)
WRestimates_0.1.0.tgz(r-4.4-emscripten)WRestimates_0.1.0.tgz(r-4.3-emscripten)
WRestimates.pdf |WRestimates.html✨
WRestimates/json (API)

# Install 'WRestimates' in R:
install.packages('WRestimates', 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.

2.00 score 121 downloads 5 exports 0 dependencies

Last updated 12 months agofrom:9d44f2d875. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-linuxOKOct 31 2024

Exports:wr.ciwr.powerwr.sigma.sqrwr.sswr.var

Dependencies:

Introduction to WRestimates

Rendered fromIntro_to_WRestimates.Rmdusingknitr::rmarkdownon Oct 31 2024.

Last update: 2023-12-07
Started: 2023-12-07