Package: clusteredinterference
Type: Package
Date: 2019-03-16
Title: Causal Effects from Observational Studies with Clustered
        Interference
Version: 1.0.1
Authors@R: c(person("Brian G.", "Barkley", email = "BarkleyBG@outlook.com",
    role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1787-4735")),
    person("Bradley", "Saul", role = c("ctb")))
Author: Brian G. Barkley [aut, cre] (<https://orcid.org/0000-0003-1787-4735>),
  Bradley Saul [ctb]
Maintainer: Brian G. Barkley <BarkleyBG@outlook.com>
Description: Estimating causal effects from observational studies assuming 
    clustered (or partial) interference. These inverse probability-weighted
    estimators target new estimands arising from population-level treatment 
    policies. The estimands and estimators are introduced in Barkley et al. 
    (2017) <arXiv:1711.04834>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Depends: R (>= 3.2)
Imports: Formula (>= 1.1-2), cubature (>= 1.1-2), lme4 (>= 1.1-10),
        numDeriv (>= 2014.2-1), rootSolve (>= 1.6.6)
Suggests: testthat, rprojroot, knitr, rmarkdown, covr
VignetteBuilder: knitr
URL: http://github.com/BarkleyBG/clusteredinterference
BugReports: http://github.com/BarkleyBG/clusteredinterference/issues
NeedsCompilation: no
Packaged: 2019-03-17 20:23:09 UTC; tkg9iov
Repository: CRAN
Date/Publication: 2019-03-18 00:03:30 UTC
Built: R 4.0.2; ; 2020-07-16 13:16:18 UTC; unix
