successRegion

Creates a success region object which can then be used for
 computing the probability of replication success with <code>pors</code>.

Provides functionality for determining the sample size of replication studies using Bayesian design approaches in the normal-normal hierarchical model (Pawel et al., 2022) <doi:10.48550/arXiv.2211.02552>.

Samuel Pawel

BayesRepDesign

Bayesian Design of Replication Studies

successRegion function

<dl><dt>intervals</dt>
<dd>A 2xN matrix containing N disjoint intervals, the first
column containing the lower and the second column containing the upper
limits</dd></dl>

Arguments

Author

Success region for replication effect estimate — successRegion

<dl>

<dt>intervals</dt>
<dd>A 2xN matrix containing N disjoint intervals, the first
column containing the lower and the second column containing the upper
limits</dd>

</dl>

successRegion: Success region for replication effect estimate

Description

Usage

Value

Arguments

Author

References

See Also

Examples