multibalance.plot

results of <code><a rd-options="" href="/link/trips?package=TriMatch&version=0.9.9" data-mini-rdoc="TriMatch::trips">trips</a></code>.

tpsa

results of <code><a rd-options="" href="/link/trimatch?package=TriMatch&version=0.9.9" data-mini-rdoc="TriMatch::trimatch">trimatch</a></code>.

tmatch

if TRUE, then a grid of three plots for each model will be displayed.

grid

character vector of covariates (i.e. column names) from the original 
data to include in the plot. By default all covariates used in the
logistic regression model are used.

cols

A graphic based upon <code>cv.bal.psa</code> function in the <code>PSAgraphics</code>
package. This graphic plots the effect sizes for multiple covariates before and
after propensity score adjustment.

Propensity score matching for non-binary treatments.

Jason Bryer

TriMatch

Propensity Score Matching of Non-Binary Treatments

multibalance.plot function

<dl><dt>tpsa</dt>
<dd>results of <code>trips</code>.</dd>
<dt>tmatch</dt>
<dd>results of <code>trimatch</code>.</dd>
<dt>grid</dt>
<dd>if TRUE, then a grid of three plots for each model will be displayed.</dd>
<dt>cols</dt>
<dd>character vector of covariates (i.e. column names) from the original 
data to include in the plot. By default all covariates used in the
logistic regression model are used.</dd></dl>

Arguments

Multiple covariate balance assessment plot. — multibalance.plot

<dl>

<dt>tpsa</dt>
<dd>results of <code>trips</code>.</dd>


<dt>tmatch</dt>
<dd>results of <code>trimatch</code>.</dd>


<dt>grid</dt>
<dd>if TRUE, then a grid of three plots for each model will be displayed.</dd>


<dt>cols</dt>
<dd>character vector of covariates (i.e. column names) from the original 
data to include in the plot. By default all covariates used in the
logistic regression model are used.</dd>

</dl>

multibalance.plot: Multiple covariate balance assessment plot.

Description

Usage

Value

Arguments