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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), , to nonlinear settings. For more details, see C. Heinze-Deml, J. Peters and N. Meinshausen: 'Invariant Causal Prediction for Nonlinear Models', .

Maintainer: Christina Heinze-Deml
Author(s): Christina Heinze-Deml <>, Jonas Peters <>

License: GPL

Uses: caTools, CondIndTests, data.tree, randomForest, testthat

Released 11 months ago.



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