MVDiffEn: Multivariate sample entropy

In areshenk/MSMVSampEn: Computes Multiscale Multivariate Sample Entropy

Multivariate sample entropy

Description

Wrapper for MVSampEn that allows the user to specify an integer scale parameter eps. The time series is coarsegrained, and then the entropy is computed for the specified time scale. Currently being tested, and is not exported.

Usage

MVDiffEn(mat, M, tau, breaks = 100, scaleMat = TRUE)

Arguments

mat	A pxn numeric matrix containing a p-variate time series.
M	A vector of length p specifying the embedding dimension.
tau	A vector of length p specifying the time lag parameter.
r	The similarity threshold.
scale	If TRUE (default), standardizes the rows of mat.
fun	Function applied to each bin, passed to coarsegrain (default = mean).
...	Other arguments passed to fun.

areshenk/MSMVSampEn documentation built on July 22, 2022, 2:09 a.m.