plot.PSAboot

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

plot.PSAboot function

<dl><dt>x</dt>
<dd>result of <code>PSAboot</code>.</dd>
<dt>sort</dt>
<dd>how the sort the rows by mean difference. Options are to sort
using the mean difference from matching, stratification, both 
individually, or no sorting.</dd>
<dt>ci.sig.color</dt>
<dd>the color used for confidence intervals that do not span zero.</dd>
<dt>plot.overall</dt>
<dd>whether to plot vertical lines for the overall (non-bootstrapped)
estimate and confidence interval.</dd>
<dt>plot.bootstrap</dt>
<dd>whether to plot vertical lines for the bootstrap pooled
estimate and confidence interval.</dd>
<dt>...</dt>
<dd>currently unused.</dd></dl>

Arguments

Plot the results of PSAboot — plot.PSAboot

<dl>

<dt>x</dt>
<dd>result of <code>PSAboot</code>.</dd>


<dt>sort</dt>
<dd>how the sort the rows by mean difference. Options are to sort
using the mean difference from matching, stratification, both 
individually, or no sorting.</dd>


<dt>ci.sig.color</dt>
<dd>the color used for confidence intervals that do not span zero.</dd>


<dt>plot.overall</dt>
<dd>whether to plot vertical lines for the overall (non-bootstrapped)
estimate and confidence interval.</dd>


<dt>plot.bootstrap</dt>
<dd>whether to plot vertical lines for the bootstrap pooled
estimate and confidence interval.</dd>


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

</dl>

plot.PSAboot: Plot the results of PSAboot

Description

Usage

Value

Arguments