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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.
| Version: | 1.0.1 |
| Imports: | stats |
| Published: | 2023-12-06 |
| Author: | Rosamarie Frieri [aut, cre], Marco Novelli [aut] |
| Maintainer: | Rosamarie Frieri <rosamarie.frieri2 at unibo.it> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | covadap results |
| Reference manual: | covadap.pdf |
| Package source: | covadap_1.0.1.tar.gz |
| Windows binaries: | r-devel: covadap_1.0.1.zip, r-release: covadap_1.0.1.zip, r-oldrel: covadap_1.0.1.zip |
| macOS binaries: | r-release (arm64): covadap_1.0.1.tgz, r-oldrel (arm64): covadap_1.0.1.tgz, r-release (x86_64): covadap_1.0.1.tgz, r-oldrel (x86_64): covadap_1.0.1.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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