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: 0.4-1
Depends: glmnet, mboost
Published: 2015-10-07
Author: Nicolai Meinshausen
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_0.4-1.tar.gz
Windows binaries: r-devel: InvariantCausalPrediction_0.4-1.zip, r-release: InvariantCausalPrediction_0.4-1.zip, r-oldrel: InvariantCausalPrediction_0.4-1.zip
OS X Snow Leopard binaries: r-release: InvariantCausalPrediction_0.4-1.tgz, r-oldrel: InvariantCausalPrediction_0.3-2.tgz
OS X Mavericks binaries: r-release: InvariantCausalPrediction_0.4-1.tgz
Old sources: InvariantCausalPrediction archive

Reverse dependencies:

Reverse suggests: CompareCausalNetworks