param_kappa

<p>A numeric value &gt;= 0. A <code>kappa != 1</code> will be used for the specification 
of the shape of the Weibull distribution. 
Default is <code>1</code>, i.e., the exponential survival distribution is used instead of the Weibull distribution.
Note that the Weibull distribution cannot be used for the piecewise definition of 
the survival time distribution, i.e., only <code>lambda</code> and <code>kappa</code> need to be specified.
This function is equivalent to <code>pweibull(t, shape = kappa, scale = 1 / lambda)</code> 
of the <code>stats</code> package, i.e., 
the scale parameter is <code>1 / 'hazard rate'</code>.
For example, 
<code>getPiecewiseExponentialDistribution(time = 130, piecewiseLambda = 0.01, kappa = 4.2)</code> 
and <code>pweibull(q = 130, shape = 4.2, scale = 1 / 0.01)</code> provide the sample result.</p>

kappa

internal

Design and analysis of confirmatory adaptive clinical trials with continuous, binary, and survival endpoints according to the methods described in the monograph by Wassmer and Brannath (2016) <doi:10.1007/978-3-319-32562-0>. This includes classical group sequential as well as multi-stage adaptive hypotheses tests that are based on the combination testing principle.

param_kappa: Parameter Description: Kappa

Description

Arguments