Statistic-class

Statistic

Statistics

Estimator

The <code>Statistic</code> class is a parent class for the classes
<code>Estimator</code> and <code>PValue</code>. The <code>Estimator</code> class is a parent
for the classes <code>PointEstimator</code> and <code>ConfidenceInterval</code>.

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

Statistic-class function

<dl><dt>label</dt>
<dd>name of the statistic. Used in printing methods.</dd></dl>

Arguments

Statistics and Estimators of the adestr package — Statistic-class

<dl>

<dt>label</dt>
<dd>name of the statistic. Used in printing methods.</dd>

</dl>

Statistic-class: Statistics and Estimators of the adestr package

Description

Value

Arguments

Details

See Also