Implements methods to estimate causal effects from observational studies when there are 2+ distinct levels of treatment (i.e., "multilevel treatment") using matching estimators, as introduced in Yang et al. (2016) <doi:10.1111/biom.12505>. Matching on covariates, and matching or stratification on modeled propensity scores, are available. These methods require matching on only a scalar function of generalized propensity scores.
|Author||Shu Yang [aut], Brian G. Barkley [aut, cre] (<https://orcid.org/0000-0003-1787-4735>)|
|Maintainer||Brian G. Barkley <BarkleyBG@outlook.com>|
|Package repository||View on CRAN|
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