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 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

Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
liyistat/canova documentation built on May 21, 2019, 7:33 a.m.