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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 |
Reference manual: | dyncomp.pdf |
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 |
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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.