Estimates propensity scores using logistic regression.

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

Usage

mlpsa.logistic(vars, formula, level2, stepAIC = FALSE, ...)

Arguments

vars

data frame containing the variables to estimate the logistic regression

formula

the logistic regression formula to use

level2

the name of the column containing the level 2 specification

stepAIC

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

...

currently unused.

Value

a list of glm classes for each level 2 or stepwise-selected model if stepAIC is true.

See also

getPropensityScores