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IVCor (version 0.1.0)

A Robust Integrated Variance Correlation

Description

A integrated variance correlation is proposed to measure the dependence between a categorical or continuous random variable and a continuous random variable or vector. This package is designed to estimate the new correlation coefficient with parametric and nonparametric approaches. Test of independence for different problems can also be implemented via the new correlation coefficient with this package.

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Version

Install

install.packages('IVCor')

Monthly Downloads

132

Version

0.1.0

License

GPL-3

Maintainer

Han Pan

Last Published

January 9th, 2025

Functions in IVCor (0.1.0)

IVC

Integrated Variance Correlation
IVCT

Integrated Variance Correlation Based Hypothesis Test
IVC_Interval

Integrated Variance Correlation for Interval Independence
IVCCA

Integrated Variance Correlation with Discrete Response Variable
IVCLLQ

Integrated Variance Correlation with Local Linear Estimation
IVCCA_crit

Critical Values for Integrated Variance Correlation Based Hypothesis Test with Discrete Response
IVC_crit

Critical Values for Integrated Variance Correlation Based Hypothesis Test
IVCCAT

Integrated Variance Correlation Based Hypothesis Test for Discrete Response
IVCTLLQ

Integrated Variance Correlation Based Hypothesis Test with Local Linear Estimation
IVCT_Interval

Integrated Variance Correlation Based Interval Independence Hypothesis Test