CondIndTests: Nonlinear Conditional Independence Tests
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 |
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