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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 |
| 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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