Package: treatSens
Version: 2.1
Date: 2017-04-3
Title: Sensitivity Analysis for Causal Inference
Authors@R: c(person("Nicole Bohme", "Carnegie", role = c("aut", "cre"), email = "carnegin@uwm.edu"),
             person("Masataka",       "Harada", role = "aut",           email = "masatakaharada@gmail.com"),
             person("Vincent",         "Dorie", role = "aut",           email = "vjd4@nyu.edu"),
             person("Jennifer",         "Hill", role = "ctb",           email = "jennifer.hill@nyu.edu"))
Depends: R (>= 3.1-0), Rcpp (>= 0.11.0)
Imports: methods, stats, graphics, grDevices, mvtnorm, dbarts (>=
        0.8-7), rstan (>= 2.8.1)
Suggests: doParallel, foreach, testthat (>= 0.9-0)
LinkingTo: dbarts (>= 0.8-5), StanHeaders (>= 2.9.0), rstan (>= 2.9.0),
        BH (>= 1.60.0), Rcpp (>= 0.12.0), RcppEigen
Description: Utilities to investigate sensitivity to unmeasured confounding in
    parametric models with either binary or continuous treatment.
NeedsCompilation: yes
Biarch: yes
License: GPL (>= 2)
URL: https://github.com/vdorie/treatSens
BugReports: https://github.com/vdorie/treatSens/issues
RoxygenNote: 5.0.1
Packaged: 2017-04-06 20:58:27 UTC; carnegin
Author: Nicole Bohme Carnegie [aut, cre],
  Masataka Harada [aut],
  Vincent Dorie [aut],
  Jennifer Hill [ctb]
Maintainer: Nicole Bohme Carnegie <carnegin@uwm.edu>
Repository: CRAN
Date/Publication: 2017-04-06 21:16:42 UTC
