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dyncomp: Complexity of Short and Coarse-Grained Time Series

While there are many well-established measures for identifying critical fluctuations and phase transitions, these measures only work with many points of measurement and thus are unreliable when studying short and coarse-grained time series. This package provides a measure for complexity in a time series that does not rely on long time series (Kaiser (2017), <doi:10.17605/OSF.IO/GWTKX>).

Version: 0.0.2-1
Depends: zoo
Suggests: testthat
Published: 2018-08-16
DOI: 10.32614/CRAN.package.dyncomp
Author: Tim Kaiser
Maintainer: Tim Kaiser <Tim.Kaiser at sbg.ac.at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: dyncomp results

Documentation:

Reference manual: dyncomp.pdf

Downloads:

Package source: dyncomp_0.0.2-1.tar.gz
Windows binaries: r-devel: dyncomp_0.0.2-1.zip, r-release: dyncomp_0.0.2-1.zip, r-oldrel: dyncomp_0.0.2-1.zip
macOS binaries: r-release (arm64): dyncomp_0.0.2-1.tgz, r-oldrel (arm64): dyncomp_0.0.2-1.tgz, r-release (x86_64): dyncomp_0.0.2-1.tgz, r-oldrel (x86_64): dyncomp_0.0.2-1.tgz
Old sources: dyncomp archive

Linking:

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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.