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 |
Documentation:
Downloads:
Reverse dependencies:
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