compPower

Compares the power of tests under different randomization methods and treatment effects through matrices and plots.

Provides functions and command-line user interface to generate allocation sequence by covariate-adaptive randomization for clinical trials. The package currently supports six covariate-adaptive randomization procedures. Three hypothesis testing methods that are valid and robust under covariate-adaptive randomization are also available in the package to facilitate the inference for treatment effect under the included randomization procedures. 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. See Ma W, Ye X, Tu F, and Hu F (2023) <doi: 10.18637/jss.v107.i02> for details.

Xiaoqing Ye

carat

Covariate-Adaptive Randomization for Clinical Trials

Fuyi Tu

Wei Ma

Feifang Hu

compPower function

<dl> <dt>powers</dt>
<dd>a list. Each argument consists the power generated by <code>evalPower()</code> in this package or by other sources. The length of each argument must match.</dd> <dt>diffs</dt>
<dd>a vector. It contains values of group treatment effect differences. The length of this argument and the length of each argument of <code>powers</code> must match.</dd> <dt>testname</dt>
<dd>a vector. Each element is the name of test and the randomization method used. For example, when applying <code>rand.test</code> and <code>corr.test</code> under <code>HuHuCAR</code>, it can be <code>c("HH.rand","HH.corr")</code>. The length of this argument must match the length of <code>diffs</code>.</dd></dl>

Arguments

Comparison of Powers for Different Tests under Different Randomization methods — compPower

<dl>

 <dt>powers</dt>
<dd>a list. Each argument consists the power generated by <code>evalPower()</code> in this package or by other sources. The length of each argument must match.</dd>

 <dt>diffs</dt>
<dd>a vector. It contains values of group treatment effect differences. The length of this argument and the length of each argument of <code>powers</code> must match.</dd>

 <dt>testname</dt>
<dd>a vector. Each element is the name of test and the randomization method used. For example, when applying <code>rand.test</code> and <code>corr.test</code> under <code>HuHuCAR</code>, it can be <code>c("HH.rand","HH.corr")</code>. The length of this argument must match the length of <code>diffs</code>.</dd>

</dl>

compPower: Comparison of Powers for Different Tests under Different Randomization methods

Description

Usage

Value

Arguments

Examples