FunChisq (2.3.3)

Chi-Square and Exact Tests for Non-Parametric Functional Dependencies.

http://www.cs.nmsu.edu/~joemsong/publications
http://cran.r-project.org/web/packages/FunChisq

Statistical hypothesis testing methods for non-parametric functional dependencies using asymptotic chi-square or exact statistics. These tests were motivated 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 Best Performer NMSUSongLab in HPN-DREAM (DREAM8) Breast Cancer Network Inference Challenges. For continuous data, these tests offer an advantage over regression analysis when a parametric functional form cannot be assumed; for categorical data, they provide a novel means to assess directional dependencies not possible with symmetrical Pearson's chi-square or Fisher's exact tests.

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

License: LGPL (>= 3)

Uses: Rcpp, testthat, Ckmeans.1d.dp, knitr, rmarkdown
Reverse suggests: DiffXTables

Released over 3 years ago.