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RARfreq  

Response Adaptive Randomization with 'Frequentist' Approaches
View on CRAN: Click here


Download and install RARfreq package within the R console
Install from CRAN:
install.packages("RARfreq")

Install from Github:
library("remotes")
install_github("cran/RARfreq")

Install by package version:
library("remotes")
install_version("RARfreq", "0.1.5")



Attach the package and use:
library("RARfreq")
Maintained by
Xiu Huang
[Scholar Profile | Author Map]
First Published: 2023-03-02
Latest Update: 2023-04-04
Description:
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) and 'Urn' allocations.
How to cite:
Xiu Huang (2023). RARfreq: Response Adaptive Randomization with 'Frequentist' Approaches. R package version 0.1.5, https://cran.r-project.org/web/packages/RARfreq. Accessed 17 Feb. 2025.
Previous versions and publish date:
0.1.3 (2023-03-02 18:10), 0.1.4 (2023-04-04 17:00)
Other packages that cited RARfreq R package
View RARfreq citation profile
Other R packages that RARfreq depends, imports, suggests or enhances
Complete documentation for RARfreq
Functions, R codes and Examples using the RARfreq R package
Full RARfreq package functions and examples
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