InvariantCausalPrediction-package: Invariant causal prediction
In InvariantCausalPrediction: Invariant Causal Prediction
Description
Confidence intervals for causal prediction in a regression setting. An experimental version is also available for classification.
Details
Package: InvariantCausalPrediction
Type: Package
Version: 0.6-1
Date: 2016-05-02
License: GPL
Confidence intervals can be computed with function ICP, both for regression and binary classification. print, plot and summary methods are available.
Author(s)
Nicolai Meinshausen <meinshausen@stat.math.ethz.ch>
Maintainer: Nicolai Meinshausen <meinshausen@stat.math.ethz.ch>
InvariantCausalPrediction documentation built on Nov. 10, 2019, 5:06 p.m.
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Description
Confidence intervals for causal prediction in a regression setting. An experimental version is also available for classification.
Details
| Package: | InvariantCausalPrediction |
| Type: | Package |
| Version: | 0.6-1 |
| Date: | 2016-05-02 |
| License: | GPL |
Confidence intervals can be computed with function ICP, both for regression and binary classification. print, plot and summary methods are available.
Author(s)
Nicolai Meinshausen <meinshausen@stat.math.ethz.ch>
Maintainer: Nicolai Meinshausen <meinshausen@stat.math.ethz.ch>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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