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mvDFA: Multivariate Detrended Fluctuation Analysis
This R package provides an implementation of multivariate extensions of a well-known fractal analysis technique, Detrended Fluctuations Analysis (DFA; Peng et al., 1995<doi:10.1063/1.166141>), for multivariate time series: multivariate DFA (mvDFA). Several coefficients are implemented that take into account the correlation structure of the multivariate time series to varying degrees. These coefficients may be used to analyze long memory and changes in the dynamic structure that would by univariate DFA. Therefore, this R package aims to extend and complement the original univariate DFA (Peng et al., 1995) for estimating the scaling properties of nonstationary time series.
| Version: |
0.0.4 |
| Imports: |
longmemo, stats, pbapply, deSolve, RobPer, mvtnorm, pracma |
| Suggests: |
knitr, rmarkdown |
| Published: |
2023-06-15 |
| DOI: |
10.32614/CRAN.package.mvDFA |
| Author: |
Julien Patrick Irmer
 [aut, cre,
cph],
Sebastian Wallot [aut, ctb] |
| Maintainer: |
Julien Patrick Irmer <jirmer at psych.uni-frankfurt.de> |
| BugReports: |
https://github.com/jpirmer/mvDFA/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/jpirmer/mvDFA |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
mvDFA results |
Documentation:
Downloads:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.