Package: SWSamp 0.3.21

SWSamp: Computes Sample Size for a Stepped Wedge Design, using Simulation-Based Calculations

Provides a suite of functions for the sample size calculations and power analysis in a Stepped Wedge Trial. Contains functions for closed-form sample size calculation (based on a set of specific models) and simulation-based procedures that can extend the basic framework.

Authors:Gianluca Baio [aut, cre, cph], Rosie Leech [aut]

SWSamp_0.3.21.tar.gz
SWSamp_0.3.21.zip(r-4.7)SWSamp_0.3.21.zip(r-4.6)SWSamp_0.3.21.zip(r-4.5)
SWSamp_0.3.21.tgz(r-4.6-any)SWSamp_0.3.21.tgz(r-4.5-any)
SWSamp_0.3.21.tar.gz(r-4.7-any)SWSamp_0.3.21.tar.gz(r-4.6-any)
SWSamp_0.3.21.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
SWSamp/json (API)
NEWS

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

Bug tracker:https://github.com/giabaio/swsamp/issues

On CRAN:

Conda:

2.48 score 6 stars 2 scripts 8 exports 18 dependencies

Last updated from:512449f40d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK143
source / vignettesOK184
linux-release-x86_64OK151
macos-release-arm64OK133
macos-oldrel-arm64OK201
windows-develOK101
windows-releaseOK102
windows-oldrelOK124
wasm-releaseOK111

Exports:cluster.searchDE.woertHH.binaryHH.countHH.normalmake.swtsim.powersw.design.mat

Dependencies:bootcodetoolsdoParallelforeachiteratorslatticelme4MASSMatrixminqanlmenloptrrbibutilsRcppRcppEigenRdpackreformulasrlang