Package: treatSens
Version: 2.1.3
Date: 2018-03-08
Title: Sensitivity Analysis for Causal Inference
Authors@R: c(person("Nicole Bohme", "Carnegie", role = c("aut", "cre"), email = "nicole.carnegie@montana.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, lme4, nlme,
        dbarts (>= 0.9-1),
Suggests: doParallel, foreach, testthat (>= 0.9-0)
LinkingTo: dbarts (>= 0.9-1), 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: 2018-03-08 19:07:07 UTC; t89v647
Author: Nicole Bohme Carnegie [aut, cre],
  Masataka Harada [aut],
  Vincent Dorie [aut],
  Jennifer Hill [ctb]
Maintainer: Nicole Bohme Carnegie <nicole.carnegie@montana.edu>
Repository: CRAN
Date/Publication: 2018-03-08 23:32:57 UTC
