Package: MetaCycle 1.2.0

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.

Authors: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]

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Peer review:

Bug tracker:https://github.com/gangwug/metacycle/issues

On CRAN:

2 exports 26 stars 5.07 score 7 dependencies 1 dependents 47 mentions 42 scripts 270 downloads

Last updated 2 years agofrom:be73388223. Checks:OK: 7. Indexed: yes.

Exports:meta2dmeta3d

Dependencies:gnmlatticeMASSMatrixnnetqvcalcrelimp