dmca.SlidingWindows: DMCA coefficient with sliding windows.

In SlidingWindows: Methods for Time Series Analysis

Description

This function generates Detrending moving-average cross-correlation coefficient of two time series with sliding windows approach.

Usage

dmca.SlidingWindows(x, y, w = 98, k = 10)

Arguments

x	A vector containing univariate time series.
y	A vector containing univariate time series.
w	An integer value indicating the window size w < length(y). If w = length(y), will be computed the function will not slide.
k	An integer value indicating the boundary of the division (N/k). The smallest value of k is 4.

Details

This function include following measures: w, timescale, dmca

Value

A list containing "w", "timescale", "dmca".

References

KRISTOUFEK, L. Detrending moving-average cross-correlation coefficient: Measuring cross-correlations between non-stationary series. PHYSICA A, v.406, p.169-175, 2014. doi="doi.org/10.1016/j.physa.2014.03.015".

Examples

x <- rnorm(100)
y <- rnorm(100)
dmca.SlidingWindows(x,y,w=99,k=10)

SlidingWindows documentation built on April 11, 2021, 9:07 a.m.