Package: SlidingWindows 0.2.0

SlidingWindows: Methods for Time Series Analysis

A collection of functions to perform Detrended Fluctuation Analysis (DFA exponent), GUEDES et al. (2019) <doi:10.1016/j.physa.2019.04.132> , Detrended cross-correlation coefficient (RHODCCA), GUEDES & ZEBENDE (2019) <doi:10.1016/j.physa.2019.121286>, DMCA cross-correlation coefficient and Detrended multiple cross-correlation coefficient (DMC), GUEDES & SILVA-FILHO & ZEBENDE (2018) <doi:10.1016/j.physa.2021.125990>, both with sliding windows approach.

Authors:Everaldo Freitas Guedes [aut, cre], Ivan Costa da Cunha Lima [aut], Gilney Figueira Zebende [aut], Aloísio Machado Silva-Filho [aut]

SlidingWindows_0.2.0.tar.gz
SlidingWindows_0.2.0.zip(r-4.7-any)SlidingWindows_0.2.0.zip(r-4.6-any)SlidingWindows_0.2.0.zip(r-4.5-any)
SlidingWindows_0.2.0.tgz(r-4.6-any)SlidingWindows_0.2.0.tgz(r-4.5-any)
SlidingWindows_0.2.0.tar.gz(r-4.7-any)SlidingWindows_0.2.0.tar.gz(r-4.6-any)
SlidingWindows_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
SlidingWindows/json (API)

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

Bug tracker:https://github.com/efguedes/slidingwindows/issues

On CRAN:

Conda:

1.00 score 281 downloads 7 exports 21 dependencies

Last updated from:6a4bc5ba74. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK133
source / vignettesOK146
linux-releaseOK118
macos-releaseOK142
macos-oldrelOK181
windows-develOK89
windows-releaseOK77
windows-oldrelOK86
wasm-releaseOK97

Exports:descritive.SlidingWindowsdfa.SlidingWindowsdmc.SlidingWindowsdmca.SlidingWindowsentropy.SlidingWindowsrhodcca.SlidingWindowsSlidingWindows

Dependencies:backportscheckmateclicurlDCCAjsonlitelatticelifecycleMatrixnonlinearTseriesPerformanceAnalyticsquadprogquantmodRcppRcppArmadillorlangTSEntropiestseriesTTRxtszoo