set_prior_val

Add prior values to Stan input for baggr

Running and comparing meta-analyses of data with hierarchical
Bayesian models in Stan, including convenience functions for formatting
data, plotting and pooling measures specific to meta-analysis. This implements many models
from Meager (2019) <doi:10.1257/app.20170299>.

Witold Wiecek

baggr

Bayesian Aggregate Treatment Effects

Rachael Meager

Brice Green

Danny Toomey

Trustees of Columbia University

set_prior_val function

<dl><dt>target</dt>
<dd>list object (Stan input) to which prior will be added</dd>
<dt>name</dt>
<dd>prior name, like <code>hypermean</code>, <code>hypersd</code>, <code>hypercor</code></dd>
<dt>prior</dt>
<dd>one of prior distributions allowed by baggr like normal</dd>
<dt>p</dt>
<dd>number of repeats of the prior, i.e. when P i.i.d. priors are set for
P dimensional parameter as in "mu &amp; tau" type of model</dd>
<dt>to_array</dt>
<dd>for some models where <code>p</code> may be larger than 1, Stan will expect
an array instead of a numeric (even when p == 1), so for compatibiliy
we return <code>fam</code> as an array type</dd></dl>

Arguments

Add prior values to Stan input for baggr — set_prior_val

<dl>

<dt>target</dt>
<dd>list object (Stan input) to which prior will be added</dd>


<dt>name</dt>
<dd>prior name, like <code>hypermean</code>, <code>hypersd</code>, <code>hypercor</code></dd>


<dt>prior</dt>
<dd>one of prior distributions allowed by baggr like normal</dd>


<dt>p</dt>
<dd>number of repeats of the prior, i.e. when P i.i.d. priors are set for
P dimensional parameter as in "mu &amp; tau" type of model</dd>


<dt>to_array</dt>
<dd>for some models where <code>p</code> may be larger than 1, Stan will expect
an array instead of a numeric (even when p == 1), so for compatibiliy
we return <code>fam</code> as an array type</dd>

</dl>

set_prior_val: Add prior values to Stan input for baggr

Description

Usage

Arguments