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 causality based on evidence from functional dependencies. They include an asymptotic non-constant functional chi-square test, an exact functional test, and a comparative functional chi-square test. The normalized functional chi-square test was used by the Best Performer NMSUSongLab in DREAM8 Breast Cancer Network Inference Challenges. These tests offer an advantage over regression analysis when a parametric functional form cannot be assumed.

Version: 2.1.0
Depends: R (≥ 3.0.0)
Imports: Rcpp, stats
LinkingTo: BH, Rcpp, RcppClassic
Suggests: Ckmeans.1d.dp, testthat
Published: 2015-06-29
Author: Yang Zhang, Hua Zhong, and Joe Song
Maintainer: Joe Song <joemsong at cs.nmsu.edu>
License: LGPL (≥ 3)
URL: http://www.cs.nmsu.edu/~joemsong/software, http://www.cs.nmsu.edu/~joemsong/publications
NeedsCompilation: yes
Citation: FunChisq citation info
Materials: NEWS
CRAN checks: FunChisq results

Downloads:

Reference manual: FunChisq.pdf
Package source: FunChisq_2.1.0.tar.gz
Windows binaries: r-devel: FunChisq_2.1.0.zip, r-release: FunChisq_2.1.0.zip, r-oldrel: FunChisq_2.1.0.zip
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_2.1.0.tgz
Old sources: FunChisq archive