Package: covadap 1.0.1

covadap: Implement Covariate-Adaptive Randomization

Implementing seven Covariate-Adaptive Randomization to assign patients to two treatments. Three of these procedures can also accommodate quantitative and mixed covariates. Given a set of covariates, the user can generate a single sequence of allocations or replicate the design multiple times by simulating the patients' covariate profiles. At the end, an extensive assessment of the performance of the randomization procedures is provided, calculating several imbalance measures. See Baldi Antognini A, Frieri R, Zagoraiou M and Novelli M (2022) <doi:10.1007/s00362-022-01381-1> for details.

Authors:Rosamarie Frieri [aut, cre], Marco Novelli [aut]

covadap_1.0.1.tar.gz
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covadap_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
covadap/json (API)

# Install 'covadap' in R:
install.packages('covadap', repos = c('https://rfrieri91-sys.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

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

1.00 score 163 downloads 23 exports 0 dependencies

Last updated from:d2fc52d63f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK118
source / vignettesOK150
linux-release-x86_64OK117
macos-release-arm64OK196
macos-oldrel-arm64OK189
windows-develOK162
windows-releaseOK131
windows-oldrelOK87
wasm-releaseOK85

Exports:BSDBSD.simCABCDCABCD.simDABCDDABCD.simdata_preprocECADEECADE.simHuHuHuHu.simImb.mImb.m.simKERKER.simp.inversePocSimPocSim.simprint_covadapprint_mixed.covadapprint_mixed.simprint_simsummary_covadap

Dependencies: