search.match: Heuristic search of match solutions

In cem: Coarsened Exact Matching

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,verbose=1, ...) 

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
verbose	integer, prints more info on screen.
...	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

Iacus, King, Porro (2011) doi: 10.1198/jasa.2011.tm09599

Iacus, King, Porro (2012) doi: 10.1093/pan/mpr013

Iacus, King, Porro (2019) doi: 10.1017/pan.2018.29

See Also

imbspace.plot

cem documentation built on Sept. 8, 2022, 5:09 p.m.