Package: covadap
Type: Package
Date: 2023-12-06
Title: Implement Covariate-Adaptive Randomization
Version: 1.0.1
Authors@R: c(
  	   person("Rosamarie", "Frieri", email="rosamarie.frieri2@unibo.it", role=c("aut","cre")),
  	   person("Marco", "Novelli", email="m.novelli@unibo.it", role="aut")
	)
Author: Rosamarie Frieri [aut, cre],
  Marco Novelli [aut]
Maintainer: Rosamarie Frieri <rosamarie.frieri2@unibo.it>
Imports: stats
Description: 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.
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-12-06 16:47:46 UTC; marco
Repository: CRAN
Date/Publication: 2023-12-06 19:20:02 UTC
Built: R 4.6.0; ; 2026-04-25 17:54:38 UTC; unix
