param_informationEpsilon

<p>Positive integer value specifying the information epsilon, which 
defines the maximum distance from the observed information to the maximum information that causes the final analysis.
Updates at the final analysis in case the observed information at the final 
analysis is smaller ("under-running") than the planned maximum information <code>maxInformation</code>, default is 0.</p>

informationEpsilon

<p>Parameter Description: Information Epsilon</p>

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.

Friedrich Pahlke

param_informationEpsilon: Parameter Description: Information Epsilon

Description

Arguments