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>).

Getting started

Package details

AuthorChristina Heinze-Deml <heinzedeml@stat.math.ethz.ch>, Jonas Peters <jonas.peters@math.ku.dk>, Asbjoern Marco Sinius Munk <fgp998@alumni.ku.dk>
MaintainerChristina Heinze-Deml <heinzedeml@stat.math.ethz.ch>
LicenseGPL
Version0.1.5
URL https://github.com/christinaheinze/nonlinearICP-and-CondIndTests
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("CondIndTests")

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CondIndTests documentation built on Nov. 12, 2019, 9:07 a.m.