FunChisq (2.0.1)

Chi-Square Tests for Non-Parametric Functional Dependencies.

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.

Maintainer: Joe Song
Author(s): Yang Zhang, Hua Zhong, and Joe Song

License: LGPL (>= 3)

Uses: Does not use any package
Reverse suggests: DiffXTables, GridOnClusters

Released about 5 years ago.