causalsens: Selection Bias Approach to Sensitivity Analysis for Causal Effects

The causalsens package provides functions to perform sensitivity analyses and to study how various assumptions about selection bias affects estimates of causal effects.

Version: 0.1.2
Depends: R (≥ 3.0.0)
Imports: stats, graphics, grDevices
Suggests: knitr
Published: 2018-06-18
Author: Matthew Blackwell
Maintainer: Matthew Blackwell <mblackwell at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
CRAN checks: causalsens results


Reference manual: causalsens.pdf
Vignettes: causalsens: Sensitivity Analysis for Causal Effects
Package source: causalsens_0.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: causalsens_0.1.2.tgz, r-oldrel: causalsens_0.1.2.tgz
Old sources: causalsens archive


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