linpred_draws.bartcFit

Typically referred to as fitted value draws on linear scale, where appropriate.

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

linpred_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 expected prediction draws (on linear scale) from posterior of bartCause-package objects — linpred_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>

linpred_draws.bartcFit: Get expected prediction draws (on linear scale) from posterior of `bartCause`-package objects

Description

Usage

Arguments