treatSens: Sensitivity Analysis for Causal Inference

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

Version: 2.1.3
Depends: R (≥ 3.1-0), Rcpp (≥ 0.11.0)
Imports: methods, stats, graphics, grDevices, mvtnorm, lme4, nlme, dbarts (≥ 0.9-1)
LinkingTo: dbarts (≥ 0.9-1), BH (≥ 1.60.0), Rcpp (≥ 0.12.0), RcppEigen
Suggests: doParallel, foreach, testthat (≥ 0.9-0)
Published: 2018-03-08
Author: Nicole Bohme Carnegie [aut, cre], Masataka Harada [aut], Vincent Dorie [aut], Jennifer Hill [ctb]
Maintainer: Nicole Bohme Carnegie <nicole.carnegie 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_2.1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: treatSens_2.1.3.tgz, r-oldrel: treatSens_2.1.3.tgz
Old sources: treatSens archive


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