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 gov.harvard.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.mattblackwell.org/software/causalsens/
NeedsCompilation: no
Materials: README
In views: CausalInference
CRAN checks: causalsens results

Documentation:

Reference manual: causalsens.pdf
Vignettes: causalsens: Sensitivity Analysis for Causal Effects

Downloads:

Package source: causalsens_0.1.2.tar.gz
Windows binaries: r-devel: causalsens_0.1.2.zip, r-release: causalsens_0.1.2.zip, r-oldrel: causalsens_0.1.2.zip
macOS binaries: r-release (arm64): causalsens_0.1.2.tgz, r-oldrel (arm64): causalsens_0.1.2.tgz, r-release (x86_64): causalsens_0.1.2.tgz
Old sources: causalsens archive

Linking:

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