InvariantCausalPrediction: Invariant Causal Prediction

Confidence intervals for causal effects, using data collected in different experimental or environmental conditions. Hidden variables can be included in the model with a more experimental version.

Version: 0.7-1
Depends: glmnet, mboost, linprog, parallel, RColorBrewer
Published: 2017-10-03
Author: Nicolai Meinshausen [aut, cre], Dominik Rothenhaeusler [aut]
Maintainer: Nicolai Meinshausen <meinshausen at stat.math.ethz.ch>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: InvariantCausalPrediction results

Downloads:

Reference manual: InvariantCausalPrediction.pdf
Package source: InvariantCausalPrediction_0.7-1.tar.gz
Windows binaries: r-devel: InvariantCausalPrediction_0.7-1.zip, r-release: InvariantCausalPrediction_0.7-1.zip, r-oldrel: InvariantCausalPrediction_0.7-1.zip
OS X El Capitan binaries: r-release: InvariantCausalPrediction_0.7-1.tgz
OS X Mavericks binaries: r-oldrel: InvariantCausalPrediction_0.7-1.tgz
Old sources: InvariantCausalPrediction archive

Reverse dependencies:

Reverse suggests: CompareCausalNetworks

Linking:

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