mlpsa.logistic

This method will estimate a separate logistic regression model for each level 2
(or cluster).

Conducts and visualizes propensity score analysis for
multilevel, or clustered data. Bryer & Pruzek (2011)
<doi:10.1080/00273171.2011.636693>.

Jason Bryer

multilevelPSA

Multilevel Propensity Score Analysis

mlpsa.logistic function

<dl><dt>vars</dt>
<dd>data frame containing the variables to estimate the logistic regression</dd>
<dt>formula</dt>
<dd>the logistic regression formula to use</dd>
<dt>level2</dt>
<dd>the name of the column containing the level 2 specification</dd>
<dt>stepAIC</dt>
<dd>if true, the [MASS::stepAIC()] from the `MASS` package
will be used within each level.</dd>
<dt>...</dt>
<dd>currently unused.</dd></dl>

Arguments

Estimates propensity scores using logistic regression. — mlpsa.logistic

<dl>

<dt>vars</dt>
<dd>data frame containing the variables to estimate the logistic regression</dd>


<dt>formula</dt>
<dd>the logistic regression formula to use</dd>


<dt>level2</dt>
<dd>the name of the column containing the level 2 specification</dd>


<dt>stepAIC</dt>
<dd>if true, the [MASS::stepAIC()] from the `MASS` package
will be used within each level.</dd>


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

</dl>

mlpsa.logistic: Estimates propensity scores using logistic regression.

Description

Usage

Value

Arguments

See Also