Package: nonlinearICP
Type: Package
Title: Invariant Causal Prediction for Nonlinear Models
Version: 0.1.2.1
Date: 2017-07-31
Author: Christina Heinze-Deml <heinzedeml@stat.math.ethz.ch>, Jonas Peters <jonas.peters@math.ku.dk>
Depends: R (>= 3.1.0)
Maintainer: Christina Heinze-Deml <heinzedeml@stat.math.ethz.ch>
Description: 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), 
    <arXiv:1501.01332>, to nonlinear settings. For more details, see C. Heinze-Deml, 
    J. Peters and N. Meinshausen: 'Invariant Causal Prediction for Nonlinear Models', 
    <arXiv:1706.08576>.
License: GPL
LazyData: TRUE
Imports: methods, CondIndTests, data.tree, caTools, randomForest
Suggests: testthat
URL: https://github.com/christinaheinze/nonlinearICP-and-CondIndTests
BugReports: https://github.com/christinaheinze/nonlinearICP-and-CondIndTests/issues
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-07-31 10:11:20 UTC; heinzec
Repository: CRAN
Date/Publication: 2017-07-31 13:42:46 UTC
Built: R 4.1.3; ; 2023-04-17 17:38:50 UTC; windows
