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>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: InvariantCausalPrediction results


Reference manual: InvariantCausalPrediction.pdf
Package source: InvariantCausalPrediction_0.7-1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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