Description
Response Adaptive Randomization with 'Frequentist' Approaches.
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) <doi:10.1111/j.0006-341X.2001.00909.x> and 'Urn' allocations.
README.md
RARfreq
The goal of RARfreq is to …
Installation
You can install the development version of RARfreq like so:
install.packages("path/to/RARfreq_0.1.0.tar.gz", repos = NULL, type = "source")
Development
You can update the source code of the package and build the package using the following codes:
library(devtools)
check()
install()
library(RARfreq)
?power_comparison_Power_vs_n
build()
build(binary = T, vignettes = T, manual = T)