print.adoptrOptimizationResult

print

Optimize one or two-arm, two-stage designs for clinical trials with
respect to several implemented objective criteria or custom objectives.
Optimization under uncertainty and conditional (given stage-one outcome)
constraints are supported.
See Pilz et al. (2019) <doi:10.1002/sim.8291> and
Kunzmann et al. (2021) <doi:10.18637/jss.v098.i09> for details.

Maximilian Pilz

adoptr

Adaptive Optimal Two-Stage Designs

Kevin Kunzmann

Jan Meis

Nico Bruder

print.adoptrOptimizationResult function

<dl><dt>x</dt>
<dd>object to print</dd>
<dt>...</dt>
<dd>further arguments passed form other methods</dd></dl>

Arguments

Printing an optimization result — print.adoptrOptimizationResult

<dl>

<dt>x</dt>
<dd>object to print</dd>


<dt>...</dt>
<dd>further arguments passed form other methods</dd>

</dl>

Printing an optimization result

print.adoptrOptimizationResult: Printing an optimization result

Description

Usage

Arguments