NormalPrior

Normal prior distribution for the parameter mu

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

NormalPrior function

<dl><dt>mu</dt>
<dd>mean of prior distribution.</dd>
<dt>sigma</dt>
<dd>standard deviation of the prior distribution.</dd></dl>

Arguments

Normal prior distribution for the parameter mu — NormalPrior

<dl>

<dt>mu</dt>
<dd>mean of prior distribution.</dd>


<dt>sigma</dt>
<dd>standard deviation of the prior distribution.</dd>

</dl>

NormalPrior: Normal prior distribution for the parameter mu

Description

Usage

Value

Arguments

Examples