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: 0.1.3
Depends: R (≥ 3.0.0)
Imports: stats, graphics, grDevices
Suggests: rmarkdown, knitr
Published: 2024-03-18
DOI: 10.32614/CRAN.package.causalsens
Author: Matthew Blackwell
Maintainer: Matthew Blackwell <mblackwell at gov.harvard.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://www.mattblackwell.org/software/causalsens/
NeedsCompilation: no
In views: CausalInference
CRAN checks: causalsens results

Documentation:

Reference manual: causalsens.pdf
Vignettes: Sensitivity analyses for causal effects

Downloads:

Package source: causalsens_0.1.3.tar.gz
Windows binaries: r-devel: causalsens_0.1.3.zip, r-release: causalsens_0.1.3.zip, r-oldrel: causalsens_0.1.3.zip
macOS binaries: r-release (arm64): causalsens_0.1.3.tgz, r-oldrel (arm64): causalsens_0.1.3.tgz, r-release (x86_64): causalsens_0.1.3.tgz, r-oldrel (x86_64): causalsens_0.1.3.tgz
Old sources: causalsens archive

Linking:

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