Covariate-Adjusted Response-Adaptive Designs for Clinical Trials R package caradpt version 0.1.0 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>. Software Depends: R (>= 3.6.0) Imports: survival Renjie Luo <jerry.luorj@gmail.com> Comprehensive R Archive Network (CRAN) Renjie Luo [aut, cre], Feifang Hu [aut, ctb] GPL-3 2025-08-28 application/tgz https://CRAN.R-project.org/package=caradpt doi:10.32614/CRAN.package.caradpt