example_powerscale_model

Provides example models (with data) that are ready for use with
power-scaling.

Provides functions for prior and likelihood sensitivity analysis in Bayesian models. Currently it implements methods to determine the sensitivity of the posterior to power-scaling perturbations of the prior and likelihood.

Noa Kallioinen

priorsense

Prior Diagnostics and Sensitivity Analysis

Topi Paananen

Paul-Christian Bürkner

Aki Vehtari

Frank Weber

example_powerscale_model function

<dl><dt>model</dt>
<dd>Character specifying which model code to
return. Currently "univariate_normal" and "eight_schools" are
implemented.</dd></dl>

Arguments

Example Stan model for power-scaling — example_powerscale_model

<dl>

<dt>model</dt>
<dd>Character specifying which model code to
return. Currently "univariate_normal" and "eight_schools" are
implemented.</dd>

</dl>

example_powerscale_model: Example Stan model for power-scaling

Description

Usage

Value

Arguments

Examples