CausalFX: Methods for Estimating Causal Effects from Observational Data

Estimate causal effects of one variable on another, currently for binary data only. Methods include instrumental variable bounds, adjustment by a given covariate set, adjustment by an induced covariate set using a variation of the PC algorithm, and an effect bounding method (the Witness Protection Program) based on covariate adjustment with observable independence constraints.

Version: 1.0.1
Imports: igraph, rcdd, rje
Published: 2015-05-20
Author: Ricardo Silva [cre, aut], Robin Evans [aut]
Maintainer: Ricardo Silva <ricardo at stats.ucl.ac.uk>
BugReports: http://github.com/rbas2015/CausalFX/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://github.com/rbas2015/CausalFX
NeedsCompilation: no
CRAN checks: CausalFX results

Downloads:

Reference manual: CausalFX.pdf
Package source: CausalFX_1.0.1.tar.gz
Windows binaries: r-devel: CausalFX_1.0.1.zip, r-release: CausalFX_1.0.1.zip, r-oldrel: CausalFX_1.0.1.zip
OS X Mavericks binaries: r-release: CausalFX_1.0.1.tgz, r-oldrel: CausalFX_1.0.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=CausalFX to link to this page.