search.match {cem}R Documentation

Heuristic search of match solutions

Description

Heuristic search of match solutions

Usage

search.match(data, treatment, vars, depth=3, min.vars =1, group=1, useCP, ...) 

Arguments

data the original data.
treatment name of the treatment variable.
depth level of interaction and squares. See Details.
vars vector of variables' names to match on.
min.vars minimum number of variables to consider in the model.
group the indentifier of the treated group, usually 1 or the level of the fact variable treatment.
useCP the cutpoints for the calculation of the L1 measure
... passed to matchit

Details

This is a tool to help the user in the search of different choices models for matching. For example, for the search of different propensity score models. The tool tries all submodels of k variables starting from one covariate up to the full model. Then adds interactions to the full model trying all pairs, triplets etc according to the parameter depth. Then, for continuous variables only, adds squared terms to the full model.

This tool is useful in combination with imbspace.plot.

Value

val an invisible object of class list.

Author(s)

Stefano Iacus, Gary King, and Giuseppe Porro

References

Stefano Iacus, Gary King, Giuseppe Porro, ``Matching for Casual Inference Without Balance Checking: Coarsened Exact Matching,'' http://gking.harvard.edu/files/abs/cem-abs.shtml

See Also

imbspace.plot


[Package cem version 1.0.142 Index]