FunChisq: Chi-Square and Exact Tests for Non-Parametric Functional Dependencies

Statistical hypothesis testing methods for non-parametric functional dependencies based on asymptotic chi-square and exact statistics. These tests were designed to reveal evidence for causality based on functional dependencies. They include asymptotic functional chi-square tests, an exact functional test, a comparative functional chi-square test, and also a comparative chi-square test. The normalized non-constant functional chi-square test was used by the Best Performer NMSUSongLab in HPN-DREAM (DREAM8) Breast Cancer Network Inference Challenges. These tests offer an advantage over regression analysis when a parametric functional form cannot be assumed.

Version: 2.2.2
Depends: R (≥ 3.0.0)
Imports: Rcpp, stats
LinkingTo: BH, Rcpp, RcppClassic
Suggests: Ckmeans.1d.dp, testthat
Published: 2016-02-14
Author: Yang Zhang, Hua Zhong, and Joe Song
Maintainer: Joe Song <joemsong at>
License: LGPL (≥ 3)
NeedsCompilation: yes
Citation: FunChisq citation info
Materials: NEWS
CRAN checks: FunChisq results


Reference manual: FunChisq.pdf
Package source: FunChisq_2.2.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: FunChisq_2.0.2.tgz, r-oldrel: FunChisq_2.0.2.tgz
OS X Mavericks binaries: r-release: FunChisq_2.2.2.tgz
Old sources: FunChisq archive