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 |
Reference manual: | nonlinearICP.pdf |
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 |
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