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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.2.0 by Gang Wu, 2 years ago

Browse source code at https://github.com/cran/MetaCycle

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]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports gnm

Suggests knitr, rmarkdown, parallel

See at CRAN