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caradpt  

Covariate-Adjusted Response-Adaptive Designs for Clinical Trials
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("caradpt", "0.1.0")



Attach the package and use:
library("caradpt")
Maintained by
Renjie Luo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-08-28
Latest Update: 2025-08-28
Description:
Tools for implementing covariate-adjusted response-adaptive procedures for binary, continuous and survival responses. Users can flexibly choose between two functions based on their specific needs for each procedure: use real patient data from clinical trials to compute allocation probabilities directly, or use built-in simulation functions to generate synthetic patient data. Detailed methodologies and algorithms used in this package are described in the following references: Zhang, L. X., Hu, F., Cheung, S. H., & Chan, W. S. (2007)<doi:10.1214/009053606000001424> Zhang, L. X. & Hu, F. (2009) <doi:10.1007/s11766-009-0001-6> Hu, J., Zhu, H., & Hu, F. (2015) <doi:10.1080/01621459.2014.903846> Zhao, W., Ma, W., Wang, F., & Hu, F. (2022) <doi:10.1002/pst.2160> Mukherjee, A., Jana, S., & Coad, S. (2024) <doi:10.1177/09622802241287704>.
How to cite:
Renjie Luo (2025). caradpt: Covariate-Adjusted Response-Adaptive Designs for Clinical Trials. R package version 0.1.0, https://cran.r-project.org/web/packages/caradpt. Accessed 17 Jul. 2026.
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