c,EstimatorScoreResult-method

Creates an object of class EstimatoreScoreResultList,
which is a basically list with the respective
EstimatoreScoreResult objects.

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

c,EstimatorScoreResult-method function

<dl><dt>x</dt>
<dd>an object of class EstimatorScoreResult.</dd>
<dt>...</dt>
<dd>additional arguments passed along to the <code><a href="/link/list?package=adestr&version=1.0.0" data-mini-rdoc="adestr::list">list</a></code> function</dd></dl>

Arguments

Combine EstimatoreScoreResult objects into a list — c,EstimatorScoreResult-method

<dl>

<dt>x</dt>
<dd>an object of class EstimatorScoreResult.</dd>


<dt>...</dt>
<dd>additional arguments passed along to the <code><a href='https://rdrr.io/r/base/list.html'>list</a></code> function</dd>

</dl>

c,EstimatorScoreResult-method: Combine EstimatoreScoreResult objects into a list

Description

Usage

Value

Arguments