selection

Extracts the posterior draws (or summaries) of the selection-model parameters
that describe the relative publication probabilities across |z|-intervals.

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

selection function

<dl><dt>bg</dt>
<dd>a baggr model fitted with a selection-enabled likelihood
(currently <code>model = "rubin"</code>).</dd>
<dt>summary</dt>
<dd>logical; if <code>TRUE</code>, returns summary statistics (mean and
the uncertainty interval defined by <code>interval</code>).</dd>
<dt>interval</dt>
<dd>uncertainty interval width (numeric between 0 and 1),
used only when <code>summary = TRUE</code>.</dd></dl>

Arguments

Relative publication probabilities of a baggr model — selection

<dl>

<dt>bg</dt>
<dd>a baggr model fitted with a selection-enabled likelihood
(currently <code>model = "rubin"</code>).</dd>


<dt>summary</dt>
<dd>logical; if <code>TRUE</code>, returns summary statistics (mean and
the uncertainty interval defined by <code>interval</code>).</dd>


<dt>interval</dt>
<dd>uncertainty interval width (numeric between 0 and 1),
used only when <code>summary = TRUE</code>.</dd>

</dl>

selection: Relative publication probabilities of a baggr model

Description

Usage

Value

Arguments