Package: FunChisq
Type: Package
Version: 2.4.5
Date: 2018-02-20
Title: Chi-Square and Exact Tests for Model-Free Functional Dependency
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
 model-free functional dependency using asymptotic
 chi-square or exact distributions. Functional chi-squares are
 asymmetric and functionally optimal, unique from other related
 statistics. Tests in this package 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 dependency 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: 2018-02-20 19:14:49 UTC; joemsong
Repository: CRAN
Date/Publication: 2018-02-20 19:26:28 UTC