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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.
Getting started
Browse package contents
Package details |
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| Author | Shu Yang [aut], Brian G. Barkley [aut, cre] (<https://orcid.org/0000-0003-1787-4735>) |
| Maintainer | Brian G. Barkley <BarkleyBG@outlook.com> |
| License | GPL-2 |
| Version | 1.0.0 |
| URL | https://shuyang1987.github.io/multilevelMatching/ |
| Package repository | View on CRAN |
| Installation |
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