Package: FunChisq
Type: Package
Version: 2.4.0
Date: 2017-02-26
Title: Chi-Square and Exact Tests for Non-Parametric Functional
        Dependencies
Authors@R: c(person("Yang", "Zhang", role = "aut"),
	           person("Hua", "Zhong", role = "aut"),
             person("Ruby", "Sharma", role = "aut"),
	           person("Sajal", "Kumar", role = "aut"),
	           person("Joe", "Song", role = c("aut", "cre"),
		                email = "joemsong@cs.nmsu.edu"))
Author: Yang Zhang [aut], Hua Zhong [aut], Ruby Sharma [aut], Sajal Kumar [aut], Joe Song [aut, cre]
Maintainer: Joe Song <joemsong@cs.nmsu.edu>
Description: Statistical hypothesis testing methods for non-parametric
 functional dependencies using asymptotic chi-square or exact statistics. These
 tests reveal evidence for causality based on the causality-by-functionality
 principle. 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.
License: LGPL (>= 3)
Depends: R (>= 3.0.0)
Imports: Rcpp, stats
LinkingTo: BH, Rcpp
Suggests: Ckmeans.1d.dp, testthat, knitr, rmarkdown
NeedsCompilation: yes
URL: https://www.cs.nmsu.edu/~joemsong/publications
LazyData: TRUE
VignetteBuilder: knitr
Packaged: 2017-02-28 00:14:24 UTC; joemsong
Repository: CRAN
Date/Publication: 2017-02-28 10:58:55