covariate_importance

Inclusion metric for bartMachine and BART are scaled differently.
bartMachine averaged over number of trees, in addition to number of MCMC draws.

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

covariate_importance function

<dl><dt>model</dt>
<dd>Model</dd>
<dt>...</dt>
<dd>Arguments to pass to particular methods.</dd></dl>

Arguments

Counts of variable overall inclusion — covariate_importance

<dl>

<dt>model</dt>
<dd>Model</dd>


<dt>...</dt>
<dd>Arguments to pass to particular methods.</dd>

</dl>

covariate_importance: Counts of variable overall inclusion

Description

Usage

Value

Arguments