Nonparametric Preprocessing for Parametric Causal Inference
Add sampling weights to a matchit object
Propensity scores and other distance measures
Compute a Distance Matrix
Construct a matched dataset from a matchit object
MatchIt: Nonparametric Preprocessing for Parametric Causal Inference
Matching for Causal Inference
Cardinality Matching
Coarsened Exact Matching
Exact Matching
Optimal Full Matching
Genetic Matching
Nearest Neighbor Matching
Optimal Pair Matching
Fast Generalized Full Matching
Subclassification
Generate Balance Plots after Matching and Subclassification
Generate a Love Plot of Standardized Mean Differences
Append matched datasets together
View a balance summary of a matchit object
Selects matched samples of the original treated and control groups with similar covariate distributions -- can be used to match exactly on covariates, to match on propensity scores, or perform a variety of other matching procedures. The package also implements a series of recommendations offered in Ho, Imai, King, and Stuart (2007) <DOI:10.1093/pan/mpl013>. (The 'gurobi' package, which is not on CRAN, is optional and comes with an installation of the Gurobi Optimizer, available at <https://www.gurobi.com>.)
Useful links