RARfreq: Response Adaptive Randomization with 'Frequentist' Approach
Provides functions and command-line user interface to generate
allocation sequence by response-adaptive randomization for clinical trials.
The package currently supports two response-adaptive randomization procedures,
Doubly Adaptive Biased Coin Design ('DBCD') and Sequential Estimation-adjusted
Urn Model ('SEU'), for two endpoints, binary and normal. One-sided proportion
(or mean) difference and Chi-square (or 'ANOVA') hypothesis testing methods
are also available in the package to facilitate the inference for
treatment effect under different sample sizes and the inference for sample size
under different treatment effects. Additionally, the package provides
comprehensive and efficient tools to allow one to evaluate and compare the
performance of randomization procedures and tests based on various criteria.
Five allocation functions for 'DBCD' and six addition rule functions for 'SEU' are
implemented to target allocations such as 'Neyman', 'Rosenberger' and 'Urn'
||dplyr, ggplot2, latex2exp, magrittr, patchwork, stats, tidyr, data.table, reshape2
||spelling, testthat (≥ 3.0.0)
||Mengjia Yu [aut],
Xiu Huang [aut, cre],
Hongjian Zhu [aut]
||Xiu Huang <xiu.huang at abbvie.com>
||MIT + file LICENSE
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