shuyang1987/multilevelMatching: Propensity Score Matching and Subclassification in Observational Studies with Multi-Level Treatments

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.

install.packages("remotes")
remotes::install_github("shuyang1987/multilevelMatching")