Package: fidelitysim 0.1.1

fidelitysim: Fidelity patterns in simulation experiments for cluster randomized trials in implementation science research

The package provides functions to coduct simulation experiments for investigating the performance of effect estimation within parallel/stepped-wedged cluster randomized trials under consideration of implementation error (measured by fidelity).

Authors:Diana Trutschel [aut], Catherine Blatter [ctb, cre]

fidelitysim_0.1.1.tar.gz
fidelitysim_0.1.1.zip(r-4.7)fidelitysim_0.1.1.zip(r-4.6)fidelitysim_0.1.1.zip(r-4.5)
fidelitysim_0.1.1.tgz(r-4.6-any)fidelitysim_0.1.1.tgz(r-4.5-any)
fidelitysim_0.1.1.tar.gz(r-4.7-any)fidelitysim_0.1.1.tar.gz(r-4.6-any)
fidelitysim_0.1.1.tgz(r-4.5-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
fidelitysim/json (API)

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

Bug tracker:https://github.com/ins-basel/fidelitysim/issues

Pkgdown/docs site:https://ins-basel.github.io

On CRAN:

Conda:

1.70 score 10 exports 16 dependencies

Last updated from:397f6526c4. Checks:6 NOTE, 1 OK, 3 FAIL. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE112
source / vignettesOK181
linux-release-x86_64NOTE123
linux-oldrel-x86_64NOTE178
macos-release-arm64FAIL107
macos-oldrel-arm64FAIL103
windows-develNOTE71
windows-releaseNOTE72
windows-oldrelNOTE71
wasm-releaseFAIL93

Exports:biascalc.X.valuesData.loss.SWDfind.Fidelity.expfind.Fidelity.linearfind.Fidelity.logimplemMatrix.crossoverimplemMatrix.parallelperformanceMeassimulation

Dependencies:bootlatticelme4MASSMatrixminqamvtnormnlmenloptrrbibutilsRcppRcppEigenRdpackreformulasrlangsamplingDataCRT