predicted_draws.bartcFit

Get prediction draws from posterior of <code>bartCause</code>-package objects

Functions for extracting tidy data from Bayesian treatment effect models, in particular BART, but extensions are possible. Functionality includes extracting tidy posterior summaries as in 'tidybayes' <https://github.com/mjskay/tidybayes>, estimating (average) treatment effects, common support calculations, and plotting useful summaries of these.

Joshua J Bon

tidytreatment

Tidy Methods for Bayesian Treatment Effect Models

predicted_draws.bartcFit function

<dl><dt>object</dt>
<dd>A <code>bartCauseFit</code> object.</dd>
<dt>...</dt>
<dd>Additional arguments (e.g. <code>newdata</code>) passed to the underlying prediction method for the type of model given.</dd>
<dt>value</dt>
<dd>The name of the output column.</dd>
<dt>re_formula</dt>
<dd>If NULL (default), include all group-level effects; if NA, include no group-level effects.</dd>
<dt>fitstage</dt>
<dd>If <code>is.null(type)</code>, return posterior from <code>response</code> or treatment <code>assignment</code> model.</dd></dl>

Arguments

Get prediction draws from posterior of bartCause-package objects — predicted_draws.bartcFit

<dl>

<dt>object</dt>
<dd>A <code>bartCauseFit</code> object.</dd>


<dt>...</dt>
<dd>Additional arguments (e.g. <code>newdata</code>) passed to the underlying prediction method for the type of model given.</dd>


<dt>value</dt>
<dd>The name of the output column.</dd>


<dt>re_formula</dt>
<dd>If NULL (default), include all group-level effects; if NA, include no group-level effects.</dd>


<dt>fitstage</dt>
<dd>If <code>is.null(type)</code>, return posterior from <code>response</code> or treatment <code>assignment</code> model.</dd>

</dl>

predicted_draws.bartcFit: Get prediction draws from posterior of `bartCause`-package objects

Description

Usage

Arguments