This method will estimate a separate logistic regression model for each level 2 (or cluster).
mlpsa.logistic(vars, formula, level2, stepAIC = FALSE, ...)data frame containing the variables to estimate the logistic regression
the logistic regression formula to use
the name of the column containing the level 2 specification
if true, the stepAIC from the MASS package
will be used within each level.
currently unused.
a list of glm classes for each level 2 or stepwise-selected model if stepAIC is true.
getPropensityScores