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 |
| 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 |
| Reference manual: | MetaCycle.pdf |
| Vignettes: |
Introduction to MetaCycle |
| 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: MetaCycle_1.2.0.tgz, r-oldrel: MetaCycle_1.2.0.tgz |
| Old sources: | MetaCycle archive |
| Reverse imports: | DiscoRhythm |
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