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.
|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 <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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