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>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
Citation: CondIndTests citation info
CRAN checks: CondIndTests results


Reference manual: CondIndTests.pdf


Package source: CondIndTests_0.1.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): CondIndTests_0.1.5.tgz, r-oldrel (arm64): CondIndTests_0.1.5.tgz, r-release (x86_64): CondIndTests_0.1.5.tgz, r-oldrel (x86_64): CondIndTests_0.1.5.tgz
Old sources: CondIndTests archive

Reverse dependencies:

Reverse imports: nonlinearICP


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