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nonlinearICP: Invariant Causal Prediction for Nonlinear Models

Performs 'nonlinear Invariant Causal Prediction' to estimate the causal parents of a given target variable from data collected in different experimental or environmental conditions, extending 'Invariant Causal Prediction' from Peters, Buehlmann and Meinshausen (2016), <doi:10.48550/arXiv.1501.01332>, to nonlinear settings. For more details, see C. Heinze-Deml, J. Peters and N. Meinshausen: 'Invariant Causal Prediction for Nonlinear Models', <doi:10.48550/arXiv.1706.08576>.

Version:0.1.2.1
Depends:R (≥ 3.1.0)
Imports:methods,CondIndTests,data.tree,caTools,randomForest
Suggests:testthat
Published:2017-07-31
DOI:10.32614/CRAN.package.nonlinearICP
Author:Christina Heinze-Deml, Jonas Peters
Maintainer:Christina Heinze-Deml <heinzedeml at stat.math.ethz.ch>
BugReports:https://github.com/christinaheinze/nonlinearICP-and-CondIndTests/issues
License:GPL-2 |GPL-3 [expanded from: GPL]
URL:https://github.com/christinaheinze/nonlinearICP-and-CondIndTests
NeedsCompilation:no
Citation:nonlinearICP citation info
In views:CausalInference
CRAN checks:nonlinearICP results

Documentation:

Reference manual:nonlinearICP.html ,nonlinearICP.pdf

Downloads:

Package source: nonlinearICP_0.1.2.1.tar.gz
Windows binaries: r-devel:nonlinearICP_0.1.2.1.zip, r-release:nonlinearICP_0.1.2.1.zip, r-oldrel:nonlinearICP_0.1.2.1.zip
macOS binaries: r-release (arm64):nonlinearICP_0.1.2.1.tgz, r-oldrel (arm64):nonlinearICP_0.1.2.1.tgz, r-release (x86_64):nonlinearICP_0.1.2.1.tgz, r-oldrel (x86_64):nonlinearICP_0.1.2.1.tgz
Old sources: nonlinearICP archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=nonlinearICPto link to this page.


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