as.data.frame.PSAbootSummary

Convert the results of PSAboot summary to a data frame.

It is often advantageous to test a hypothesis more than once
in the context of propensity score analysis (Rosenbaum, 2012)
<doi:10.1093/biomet/ass032>. The functions in this package facilitate
bootstrapping for propensity score analysis (PSA). By default, bootstrapping
using two classification tree methods (using 'rpart' and 'ctree'
functions), two matching methods (using 'Matching' and 'MatchIt'
packages), and stratification with logistic regression. A framework
is described for users to implement additional propensity score
methods. Visualizations are emphasized for diagnosing balance;
exploring the correlation relationships between bootstrap samples and
methods; and to summarize results.

Jason Bryer

PSAboot

Bootstrapping for Propensity Score Analysis

as.data.frame.PSAbootSummary function

<dl><dt>x</dt>
<dd>results of <code>summary.PSAboot</code></dd>
<dt>row.names</dt>
<dd>row names.</dd>
<dt>optional</dt>
<dd>unused.</dd>
<dt>...</dt>
<dd>unused.</dd></dl>

Arguments

Convert the results of PSAboot summary to a data frame. — as.data.frame.PSAbootSummary

<dl>

<dt>x</dt>
<dd>results of <code>summary.PSAboot</code></dd>


<dt>row.names</dt>
<dd>row names.</dd>


<dt>optional</dt>
<dd>unused.</dd>


<dt>...</dt>
<dd>unused.</dd>

</dl>

as.data.frame.PSAbootSummary: Convert the results of PSAboot summary to a data frame.

Description

Usage

Value

Arguments