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Provides functions and command-line user interface to generate allocation sequence by response-adaptive randomization for clinical trials. The package currently supports two families of frequentist response-adaptive randomization procedures, Doubly Adaptive Biased Coin Design ('DBCD') and Sequential Estimation-adjusted Urn Model ('SEU'), for binary and normal endpoints. 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. 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. For example, plots for relationship among assumed treatment effects, sample size, and power are provided. Five allocation functions for 'DBCD' and six addition rule functions for 'SEU' are implemented to target allocations such as 'Neyman', 'Rosenberger' Rosenberger et al. (2001) <doi:10.1111/j.0006-341X.2001.00909.x> and 'Urn' allocations.
| Version: | 0.1.5 |
| Imports: | dplyr, ggplot2, latex2exp, magrittr, patchwork, stats, tidyr, data.table, reshape2, Rdpack |
| Suggests: | spelling, testthat (≥ 3.0.0) |
| Published: | 2024-05-07 |
| DOI: | 10.32614/CRAN.package.RARfreq |
| Author: | Mengjia Yu [aut], Xiu Huang [aut, cre], Li Wang [aut], Hongjian Zhu [aut] |
| Maintainer: | Xiu Huang <xiu.huang at aya.yale.edu> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README |
| CRAN checks: | RARfreq results |
| Reference manual: | RARfreq.pdf |
| Package source: | RARfreq_0.1.5.tar.gz |
| Windows binaries: | r-devel: RARfreq_0.1.5.zip, r-release: RARfreq_0.1.5.zip, r-oldrel: RARfreq_0.1.5.zip |
| macOS binaries: | r-release (arm64): RARfreq_0.1.5.tgz, r-oldrel (arm64): RARfreq_0.1.5.tgz, r-release (x86_64): RARfreq_0.1.5.tgz, r-oldrel (x86_64): RARfreq_0.1.5.tgz |
| Old sources: | RARfreq archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.