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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