Package: FunChisq
Type: Package
Title: Chi-Square Tests for Non-Parametric Functional Dependencies
Version: 2.0.2
Date: 2015-03-03
Author: Yang Zhang, Hua Zhong, and Joe Song
Maintainer: Joe Song <joemsong@cs.nmsu.edu>
Description: Statistical hypothesis testing methods for non-parametric functional dependencies based on chi-square statistics. These tests were designed to reveal causality based on evidence from non-parametric 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.
License: LGPL (>= 3)
Depends: R (>= 3.0.0)
Imports: Rcpp
LinkingTo: BH, Rcpp, RcppClassic
Suggests: Ckmeans.1d.dp, testthat
NeedsCompilation: yes
URL: http://www.cs.nmsu.edu/~joemsong/software,
        http://www.cs.nmsu.edu/~joemsong/publications
Packaged: 2015-03-04 04:50:08 UTC; joemsong
Repository: CRAN
Date/Publication: 2015-03-04 14:57:09
Built: R 3.1.3; x86_64-apple-darwin10.8.0; 2015-03-05 13:56:17 UTC; unix
Archs: FunChisq.so.dSYM
