AHB is an R package for performing matching for causal inference on observational datasets containing discrete, continuous, or mixed covariates. AHB matches treatment and control units in unit-specific, hyper-box-shaped regions of the covariate space. This package offers two implementations of the AHB algorithm, one which calculates regions as the solution to a mixed integer program (MIP) and another which uses a fast approximation algorithm.
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