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: 0.0.1-5
Depends: zoo
Published: 2017-12-11
Author: Tim Kaiser
Maintainer: Tim Kaiser <Tim.Kaiser at sbg.ac.at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: dyncomp results

Downloads:

Reference manual: dyncomp.pdf
Package source: dyncomp_0.0.1-5.tar.gz
Windows binaries: r-devel: dyncomp_0.0.1-5.zip, r-release: dyncomp_0.0.1-5.zip, r-oldrel: dyncomp_0.0.1-5.zip
OS X binaries: r-release: dyncomp_0.0.1-5.tgz, r-oldrel: dyncomp_0.0.1-5.tgz

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