Package: DirectEffects
Version: 0.2
Title: Estimating Controlled Direct Effects for Explaining Causal
        Findings
Authors@R: c(
    person("Matthew", "Blackwell", email = "mblackwell@gov.harvard.edu", role = c("aut", "cre")),
    person("Avidit", "Acharya", email = "avidit@stanford.edu", role = c("aut")),
    person("Maya", "Sen", email = "maya_sen@hks.harvard.edu", role = c("aut")),
    person("Shiro", "Kuriwaki", email = "kuriwaki@g.harvard.edu", role = c("aut")),
    person("Jacob", "Brown", email = "jrbrown@g.harvard.edu", role = c("aut")))
Imports: stats, sandwich, Formula, glue
Depends: R (>= 3.0.0)
Suggests: knitr, dplyr, ggplot2, reshape2, scales, testthat
Description: A set of functions to estimate the controlled direct effect of treatment fixing a potential mediator to a specific value. Implements the sequential g-estimation estimator described in Vansteelandt (2009) <doi:10.1097/EDE.0b013e3181b6f4c9> and Acharya, Blackwell, and Sen (2016) <doi:10.1017/S0003055416000216>.
License: GPL (>= 2)
URL: http://www.mattblackwell.org/software/direct-effects/
BugReports: https://github.com/mattblackwell/DirectEffects/issues
VignetteBuilder: knitr
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2018-12-21 01:53:10 UTC; mblackwell
Author: Matthew Blackwell [aut, cre],
  Avidit Acharya [aut],
  Maya Sen [aut],
  Shiro Kuriwaki [aut],
  Jacob Brown [aut]
Maintainer: Matthew Blackwell <mblackwell@gov.harvard.edu>
Repository: CRAN
Date/Publication: 2019-01-04 10:00:08 UTC
