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dCovTS (version 1.1)

Distance Covariance and Correlation for Time Series Analysis

Description

Computing and plotting the distance covariance and correlation function of a univariate or a multivariate time series. Both versions of biased and unbiased estimators of distance covariance and correlation are provided. Test statistics for testing pairwise independence are also implemented. Some data sets are also included.

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Version

Install

install.packages('dCovTS')

Monthly Downloads

300

Version

1.1

License

GPL (>= 2)

Maintainer

Maria Pitsillou

Last Published

September 21st, 2016

Functions in dCovTS (1.1)

mADCFtest

Distance Correlation test of independence in multivariate time series
mADCFplot

Distance cross-correlation plot
ibmSp500

Monthly returns of IBM and S&P 500 composite index
dCovTS-package

Distance Covariance and Correlation theory in time series
MortTempPart

Cardiovascular mortality, temperature and pollution data in Los Angeles County
mADCVtest

Distance covariance test of independence in multivariate time series
UnivTest

Testing for independence in univariate time series
ADCFplot

Auto-distance correlation plot
ADCF

Auto-Distance Correlation Function
mADCF

Auto-Distance Correlation Matrix
kernelFun

Several kernel functions
ADCV

Auto-distance Covariance Function
mADCV

Auto-Distance Covariance Matrix