makeBiasedExpectation

internal

This tool enables the user to choose a randomization procedure
based on sound scientific criteria. It comprises the generation of
randomization sequences as well the assessment of randomization procedures
based on carefully selected criteria. Furthermore, 'randomizeR' provides a
function for the comparison of randomization procedures.

Ralf-Dieter Hilgers

randomizeR

Randomization for Clinical Trials

David Schindler

Diane Uschner

Denis Razsolkov

Dimitar Mihaylov

Marcia Viviane Rueckbeil

Martin Manolov

Thi Mui Pham

Michael Martini

Nicole Heussen

Daniel Bodden

makeBiasedExpectation function

<dl><dt>R</dt>
<dd>randomization sequence, an object of type randSeq</dd>
<dt>mu</dt>
<dd>vector of length K containing the expectation values of groups 1, ..., K</dd>
<dt>bias</dt>
<dd>selection or chronological bias object, containing eta(or theta) and alpha</dd></dl>

Arguments

Calculate Expectation vector — makeBiasedExpectation

<dl>

<dt>R</dt>
<dd>randomization sequence, an object of type randSeq</dd>


<dt>mu</dt>
<dd>vector of length K containing the expectation values of groups 1, ..., K</dd>


<dt>bias</dt>
<dd>selection or chronological bias object, containing eta(or theta) and alpha</dd>

</dl>

Calculate Expectation vector

makeBiasedExpectation: Calculate Expectation vector

Description

Usage

Value

Arguments