grouprar

Implement group response-adaptive randomization procedures, which also integrates standard non-group response-adaptive randomization methods as specialized instances. It is also uniquely capable of managing complex scenarios, including those with delayed and missing responses, thereby expanding its utility in real-world applications. This package offers 16 functions for simulating a variety of response adaptive randomization procedures. These functions are essential for guiding the selection of statistical methods in clinical trials, providing a flexible and effective approach to trial design. Some of the detailed methodologies and algorithms used in this package, please refer to the following references: LJ Wei (1979) doi:10.1214/aos/1176344614 L. J. WEI and S. DURHAM (1978) doi:10.1080/01621459.1978.10480109 Durham, S. D., FlournoY, N. AND LI, W. (1998) doi:10.2307/3315771 Ivanova, A., Rosenberger, W. F., Durham, S. D. and Flournoy, N. (2000) Bai Z D, Hu F, Shen L. (2002) doi:10.1006/jmva.2001.1987 Ivanova, A. (2003) doi:10.1007/s001840200220 Hu, F., & Zhang, L. X. (2004) doi:10.1214/aos/1079120137 Hu, F., & Rosenberger, W. F. (2006, ISBN:978-0-471-65396-7). Zhang, L. X., Chan, W. S., Cheung, S. H., & Hu, F. (2007) Zhang, L., & Rosenberger, W. F. (2006) doi:10.1111/j.1541-0420.2005.00496.x Hu, F., Zhang, L. X., Cheung, S. H., & Chan, W. S. (2008) doi:10.1002/cjs.5550360404.