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MetaCycle: Evaluate Periodicity in Large Scale Data

There are two functions-meta2d and meta3d for detecting rhythmic signals from time-series datasets. For analyzing time-series datasets without individual information, 'meta2d' is suggested, which could incorporates multiple methods from ARSER, JTK_CYCLE and Lomb-Scargle in the detection of interested rhythms. For analyzing time-series datasets with individual information, 'meta3d' is suggested, which takes use of any one of these three methods to analyze time-series data individual by individual and gives out integrated values based on analysis result of each individual.

Version: 1.2.0
Depends: R (≥ 3.0.2)
Imports: gnm
Suggests: knitr, rmarkdown, parallel
Published: 2019-04-18
DOI: 10.32614/CRAN.package.MetaCycle
Author: Gang Wu [aut, cre], Ron Anafi [aut, ctb], John Hogenesch [aut, ctb], Michael Hughes [aut, ctb], Karl Kornacker [aut, ctb], Xavier Li [aut, ctb], Matthew Carlucci [aut, ctb]
Maintainer: Gang Wu <wggucas at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: MetaCycle results

Documentation:

Reference manual: MetaCycle.pdf
Vignettes: Introduction to MetaCycle

Downloads:

Package source: MetaCycle_1.2.0.tar.gz
Windows binaries: r-devel: MetaCycle_1.2.0.zip, r-release: MetaCycle_1.2.0.zip, r-oldrel: MetaCycle_1.2.0.zip
macOS binaries: r-release (arm64): MetaCycle_1.2.0.tgz, r-oldrel (arm64): MetaCycle_1.2.0.tgz, r-release (x86_64): MetaCycle_1.2.0.tgz, r-oldrel (x86_64): MetaCycle_1.2.0.tgz
Old sources: MetaCycle archive

Reverse dependencies:

Reverse imports: DiscoRhythm

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MetaCycle to link to this page.

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.
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