treatSens: Sensitivity Analysis for Causal Inference

Utilities to investigate sensitivity to unmeasured confounding in parametric models with either binary or continuous treatment.

Version: 2.1.2
Depends: R (≥ 3.1-0), Rcpp (≥ 0.11.0)
Imports: methods, stats, graphics, grDevices, mvtnorm, dbarts (≥ 0.8-7), rstan (≥ 2.8.1)
LinkingTo: dbarts (≥ 0.8-5), StanHeaders (≥ 2.9.0), rstan (≥ 2.9.0), BH (≥ 1.60.0), Rcpp (≥ 0.12.0), RcppEigen
Suggests: doParallel, foreach, testthat (≥ 0.9-0)
Published: 2017-04-22
Author: Nicole Bohme Carnegie [aut, cre], Masataka Harada [aut], Vincent Dorie [aut], Jennifer Hill [ctb]
Maintainer: Nicole Bohme Carnegie <carnegin at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: treatSens citation info
CRAN checks: treatSens results


Reference manual: treatSens.pdf
Package source: treatSens_2.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: treatSens_2.1.2.tgz
OS X Mavericks binaries: r-oldrel: treatSens_2.1.2.tgz
Old sources: treatSens archive


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