Code for a variety of nonlinear conditional independence tests: Kernel conditional independence test (Zhang et al., UAI 2011, <doi:10.48550/arXiv.1202.3775>), Residual Prediction test (based on Shah and Buehlmann, <doi:10.48550/arXiv.1511.03334>), Invariant environment prediction, Invariant target prediction, Invariant residual distribution test, Invariant conditional quantile prediction (all from Heinze-Deml et al., <doi:10.48550/arXiv.1706.08576>).
Version: 0.1.5 Depends: R (≥ 3.1.0) Imports: methods, randomForest, quantregForest, lawstat, RPtests, caTools, mgcv, MASS, kernlab, pracma, mize Suggests: testthat Published: 2019-11-12 DOI: 10.32614/CRAN.package.CondIndTests Author: Christina Heinze-Deml, Jonas Peters, Asbjoern Marco Sinius Munk 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: CondIndTests citation info CRAN checks: CondIndTests results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=CondIndTests to link to this page.
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