genNcps_new

Computes the noncentrality parameters delta and lambda for the doubly noncentral t-distribution of each randomization sequence.

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

genNcps_new function

<dl><dt>randSeq</dt>
<dd>a list of randSeq(rCrSeq or others) with possible varying N's</dd>
<dt>bias</dt>
<dd>a list of biases - corresponding to the different randSeq's</dd>
<dt>endp</dt>
<dd>object of the class endpoint.</dd>
<dt>weight</dt>
<dd>if set to TRUE the weight will be set to 1, according to the paper</dd></dl>

Arguments

Calculation of the NCPs of each randomization sequence for the doubly noncentral t-distribution — genNcps_new

<dl>

<dt>randSeq</dt>
<dd>a list of randSeq(rCrSeq or others) with possible varying N's</dd>


<dt>bias</dt>
<dd>a list of biases - corresponding to the different randSeq's</dd>


<dt>endp</dt>
<dd>object of the class endpoint.</dd>


<dt>weight</dt>
<dd>if set to TRUE the weight will be set to 1, according to the paper</dd>

</dl>

Calculation of the NCPs of each randomization sequence for the doubly noncentral t-distribution

genNcps_new: Calculation of the NCPs of each randomization sequence for the doubly noncentral t-distribution

Description

Usage

Value

Arguments