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 |
| 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 |