plot,list-method

This function extract the values of mu and the score values and a facet plot with
one facet per score. If the input argument is a list, the different estimators
will be displayed in the same facets, differentiated by color.

Methods to evaluate the performance characteristics of
various point and interval estimators for optimal adaptive two-stage designs as described
in Meis et al. (2024) <doi:10.1002/sim.10020>.
Specifically, this package is written to work with trial designs created by the 'adoptr' package
(Kunzmann et al. (2021) <doi:10.18637/jss.v098.i09>; Pilz et al. (2021) <doi:10.1002/sim.8953>)).
Apart from the a priori evaluation of performance characteristics, this package also allows for the
evaluation of the implemented estimators on real datasets, and it implements methods
to calculate p-values.

Jan Meis

adestr

Estimation in Optimal Adaptive Two-Stage Designs

Martin Maechler

plot,list-method function

<dl><dt>x</dt>
<dd>an output object from evaluate_estimator (<code>EstimatorScoreResult</code>) or a list
of such objects (<code>EstimatorScoreResultList</code>).</dd>
<dt>y</dt>
<dd>unused.</dd>
<dt>...</dt>
<dd>additional arguments handed down to ggplot.</dd></dl>

Arguments

Plot performance scores for point and interval estimators — plot,list-method

<dl>

<dt>x</dt>
<dd>an output object from evaluate_estimator (<code>EstimatorScoreResult</code>) or a list
of such objects (<code>EstimatorScoreResultList</code>).</dd>


<dt>y</dt>
<dd>unused.</dd>


<dt>...</dt>
<dd>additional arguments handed down to ggplot.</dd>

</dl>

plot,list-method: Plot performance scores for point and interval estimators

Description

Usage

Value

Arguments

Examples