Package: covadap 1.0.1
Rosamarie Frieri
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:
covadap_1.0.1.tar.gz
covadap_1.0.1.tar.gz(r-4.5-noble)covadap_1.0.1.tar.gz(r-4.4-noble)
covadap_1.0.1.tgz(r-4.4-emscripten)covadap_1.0.1.tgz(r-4.3-emscripten)
covadap.pdf |covadap.html✨
covadap/json (API)
| # Install 'covadap' in R: |
| install.packages('covadap', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 12 months agofrom:d2fc52d63f. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-linux | OK | Oct 31 2024 |
Exports:BSDBSD.simCABCDCABCD.simDABCDDABCD.simdata_preprocECADEECADE.simHuHuHuHu.simImb.mImb.m.simKERKER.simp.inversePocSimPocSim.simprint_covadapprint_mixed.covadapprint_mixed.simprint_simsummary_covadap
Dependencies:
