RARtrials

Response-Adaptive Randomization in Clinical Trials

CRAN Package

Some response-adaptive randomization methods commonly found in literature are included in this package. These methods include the randomized play-the-winner rule for binary endpoint (Wei and Durham (1978) ), the doubly adaptive biased coin design with minimal variance strategy for binary endpoint (Atkinson and Biswas (2013) , Rosenberger and Lachin (2015) ) and maximal power strategy targeting Neyman allocation for binary endpoint (Tymofyeyev, Rosenberger, and Hu (2007) ) and RSIHR allocation with each letter representing the first character of the names of the individuals who first proposed this rule (Youngsook and Hu (2010) , Bello and Sabo (2016) ), A-optimal Allocation for continuous endpoint (Sverdlov and Rosenberger (2013) ), Aa-optimal Allocation for continuous endpoint (Sverdlov and Rosenberger (2013) ), generalized RSIHR allocation for continuous endpoint (Atkinson and Biswas (2013) ), Bayesian response-adaptive randomization with a control group using the Thall \& Wathen method for binary and continuous endpoints (Thall and Wathen (2007) ) and the forward-looking Gittins index rule for binary and continuous endpoints (Villar, Wason, and Bowden (2015) , Williamson and Villar (2019) ).

  • Version0.0.1
  • R version≥ 4.3 stats,
  • LicenseGPL (≥ 3)
  • Needs compilation?No
  • Last release06/04/2024

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  • Depends2 packages
  • Imports1 package
  • Suggests3 packages