CondIndTests: Nonlinear Conditional Independence Tests

Code for a variety of nonlinear conditional independence tests: Kernel conditional independence test (Zhang et al., UAI 2011, <arXiv:1202.3775>), Residual Prediction test (based on Shah and Buehlmann, <arXiv:1511.03334>), Invariant environment prediction, Invariant target prediction, Invariant residual distribution test, Invariant conditional quantile prediction (all from Heinze-Deml et al., <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
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

Downloads:

Reference manual: CondIndTests.pdf
Package source: CondIndTests_0.1.5.tar.gz
Windows binaries: r-devel: CondIndTests_0.1.5.zip, r-release: CondIndTests_0.1.5.zip, r-oldrel: CondIndTests_0.1.5.zip
macOS binaries: r-release: CondIndTests_0.1.5.tgz, r-oldrel: CondIndTests_0.1.5.tgz
Old sources: CondIndTests archive

Reverse dependencies:

Reverse imports: nonlinearICP

Linking:

Please use the canonical form https://CRAN.R-project.org/package=CondIndTests to link to this page.