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covadap  

Implement Covariate-Adaptive Randomization
View on CRAN: Click here


Download and install covadap package within the R console
Install from CRAN:
install.packages("covadap")

Install from Github:
library("remotes")
install_github("cran/covadap")

Install by package version:
library("remotes")
install_version("covadap", "1.0.1")



Attach the package and use:
library("covadap")
Maintained by
Rosamarie Frieri
[Scholar Profile | Author Map]
First Published: 2023-12-06
Latest Update: 2023-12-06
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) for details.
How to cite:
Rosamarie Frieri (2023). covadap: Implement Covariate-Adaptive Randomization. R package version 1.0.1, https://cran.r-project.org/web/packages/covadap. Accessed 30 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited covadap R package
View covadap citation profile
Other R packages that covadap depends, imports, suggests or enhances
Complete documentation for covadap
Functions, R codes and Examples using the covadap R package
Some associated functions: BSD . BSD.sim . CABCD . CABCD.sim . DABCD . DABCD.sim . ECADE . ECADE.sim . HuHu . HuHu.sim . KER . KER.sim . PocSim . PocSim.sim . covadap-internal . covadap-package . summary_covadap . 
Some associated R codes: BSD.R . BSD.sim.R . CABCD.R . CABCD.sim.R . DABCD.R . DABCD.sim.R . ECADE.R . ECADE.sim.R . HuHu.R . HuHu.sim.R . Internal.R . KER.R . KER.sim.R . PocSim.R . PocSim.sim.R . summary_covadap.R .  Full covadap package functions and examples
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