[aut, cre]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.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.1.2) |
| Imports: | Matching (≥ 4.8-3.4), MASS (≥ 7.3-35), nnet (≥ 7.3-8), boot (≥ 1.3-13) |
| Suggests: | knitr, rmarkdown, testthat, rprojroot |
| Published: | 2019-05-08 |
| Author: | Shu Yang [aut],
Brian G. Barkley [aut, cre] |
| Maintainer: | Brian G. Barkley <BarkleyBG at outlook.com> |
| BugReports: | https://github.com/shuyang1987/multilevelMatching/issues |
| License: | GPL-2 |
| URL: | https://shuyang1987.github.io/multilevelMatching/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | multilevelMatching results |
| Reference manual: | multilevelMatching.pdf |
| Vignettes: |
multilevelMatching-v1.0.0 |
| Package source: | multilevelMatching_1.0.0.tar.gz |
| Windows binaries: | r-devel: multilevelMatching_1.0.0.zip, r-release: multilevelMatching_1.0.0.zip, r-oldrel: multilevelMatching_1.0.0.zip |
| OS X binaries: | r-release: multilevelMatching_1.0.0.tgz, r-oldrel: multilevelMatching_1.0.0.tgz |
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