Package: mvDFA 0.0.4

Julien Patrick Irmer

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.

Authors:Julien Patrick Irmer [aut, cre, cph], Sebastian Wallot [aut, ctb]

mvDFA_0.0.4.tar.gz
mvDFA_0.0.4.zip(r-4.5)mvDFA_0.0.4.zip(r-4.4)mvDFA_0.0.4.zip(r-4.3)
mvDFA_0.0.4.tgz(r-4.4-any)mvDFA_0.0.4.tgz(r-4.3-any)
mvDFA_0.0.4.tar.gz(r-4.5-noble)mvDFA_0.0.4.tar.gz(r-4.4-noble)
mvDFA_0.0.4.tgz(r-4.4-emscripten)mvDFA_0.0.4.tgz(r-4.3-emscripten)
mvDFA.pdf |mvDFA.html
mvDFA/json (API)
NEWS

# Install 'mvDFA' in R:
install.packages('mvDFA', repos = c('https://jpirmer.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/jpirmer/mvdfa/issues

On CRAN:

5 exports 1 stars 0.73 score 18 dependencies 2 scripts 188 downloads

Last updated 1 years agofrom:00e19fa6d8. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 21 2024
R-4.5-winOKAug 21 2024
R-4.5-linuxOKAug 21 2024
R-4.4-winOKAug 21 2024
R-4.4-macOKAug 21 2024
R-4.3-winOKAug 21 2024
R-4.3-macOKAug 21 2024

Exports:DFAmvDFAsimulate_cMTSsimulate_Lorenz_noisesimulate_MTS_mixed_white_pink_brown

Dependencies:BBDEoptimRdeSolvelatticelongmemoMASSMatrixMatrixModelsmvtnormpbapplypracmaquadprogquantregrgenoudRobPerrobustbaseSparseMsurvival

mvDFA

Rendered frommvDFA.Rmdusingknitr::rmarkdownon Aug 21 2024.

Last update: 2023-06-15
Started: 2022-08-04