liyistat/canova: CANOVA: Efficient test for nonlinear dependence of two continuous variables

Testing dependence/correlation of two variables is one of the fundamental tasks in statistics. In this work, we proposed a new way of testing nonlinear dependence between two continuous variables (X and Y). We addressed this research question by using CANOVA (continuous analysis of variance) and developed its R package CANOVA. The C++ version of CANOVA software are also available at https://sourceforge.net/projects/canova/ In the CANOVA framework, we first defined a neighborhood for each data point related to its X value, and then calculated the variance of the Y value within the neighborhood. Finally, we performed permutations to evaluate the significance of the observed values within the neighborhood variance.

Getting started

Package details

Maintainer
LicenseGPL-2
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("liyistat/canova")
liyistat/canova documentation built on Oct. 19, 2018, 3:22 a.m.