Heuristic search of match solutions
search.match(data, treatment, vars, depth=3, min.vars =1, group=1, useCP,verbose=1, ...)
an invisible object of class list.
the original data.
name of the treatment variable.
level of interaction and squares. See Details.
vector of variables' names to match on.
minimum number of variables to consider in the model.
the indentifier of the treated group, usually 1 or the level of the fact variable treatment.
the cutpoints for the calculation of the L1 measure
integer, prints more info on screen.
passed to matchit
Stefano Iacus, Gary King, and Giuseppe Porro
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.
Iacus, King, Porro (2011) tools:::Rd_expr_doi("10.1198/jasa.2011.tm09599")
Iacus, King, Porro (2012) tools:::Rd_expr_doi("10.1093/pan/mpr013")
Iacus, King, Porro (2019) tools:::Rd_expr_doi("10.1017/pan.2018.29")
imbspace.plot