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年11月10日
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

Documentation:

Downloads:

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

Reverse dependencies:

Reverse imports: miRLAB
Reverse suggests: CompareCausalNetworks

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