The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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: 0.8
Depends: glmnet, mboost
Published: 2019-11-10
DOI: 10.32614/CRAN.package.InvariantCausalPrediction
Author: Nicolai Meinshausen
Maintainer: Nicolai Meinshausen <meinshausen at stat.math.ethz.ch>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
In views: CausalInference
CRAN checks: InvariantCausalPrediction results

Documentation:

Reference manual: InvariantCausalPrediction.pdf

Downloads:

Package source: InvariantCausalPrediction_0.8.tar.gz
Windows binaries: r-devel: InvariantCausalPrediction_0.8.zip, r-release: InvariantCausalPrediction_0.8.zip, r-oldrel: InvariantCausalPrediction_0.8.zip
macOS binaries: r-release (arm64): InvariantCausalPrediction_0.8.tgz, r-oldrel (arm64): InvariantCausalPrediction_0.8.tgz, r-release (x86_64): InvariantCausalPrediction_0.8.tgz, r-oldrel (x86_64): InvariantCausalPrediction_0.8.tgz
Old sources: InvariantCausalPrediction archive

Reverse dependencies:

Reverse imports: miRLAB
Reverse suggests: CompareCausalNetworks

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.