Package: multilevelMatching
Type: Package
Title: Propensity Score Matching and Subclassification in Observational
        Studies with Multi-Level Treatments
Authors@R: c(
    person("Shu", "Yang", email = "shuyang@hsph.harvard.edu",
      role = c("aut")),
    person("Brian G.", "Barkley", email = "BarkleyBG@outlook.com", 
      role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1787-4735"))
    )
Date: 2019-05-06
Version: 1.0.0
Description: 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.
Depends: R (>= 3.1.2)
Imports: Matching (>= 4.8-3.4), MASS (>= 7.3-35), nnet (>= 7.3-8), boot
        (>= 1.3-13)
License: GPL-2
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, testthat, rprojroot
RoxygenNote: 6.1.0
LazyData: TRUE
URL: https://shuyang1987.github.io/multilevelMatching/
BugReports: https://github.com/shuyang1987/multilevelMatching/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-05-06 13:12:21 UTC; tkg9iov
Author: Shu Yang [aut],
  Brian G. Barkley [aut, cre] (<https://orcid.org/0000-0003-1787-4735>)
Maintainer: Brian G. Barkley <BarkleyBG@outlook.com>
Repository: CRAN
Date/Publication: 2019-05-08 11:30:03 UTC
