caradpt - Covariate-Adjusted Response-Adaptive Designs for Clinical Trials

The caradpt package provides a set of functions for implementing covariate-adjusted response-adaptive procedures with various types of responses. Users can flexibly choose between two functions based on their specific needs for each procedure: Provide 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, please refer to 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> Yu, J. (2025).(ProQuest Dissertations & Theses Global. Order No. 31763053).