Evaluate Periodicity in Large Scale Data R package MetaCycle version 1.2.1 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. Software Depends: R (>= 3.0.2) Imports: gnm, stats, utils Suggests: knitr, rmarkdown, parallel Gang Wu <wggucas@gmail.com> Comprehensive R Archive Network (CRAN) 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] GPL (>= 2) 2026-02-02 application/tgz https://CRAN.R-project.org/package=MetaCycle doi:10.32614/CRAN.package.MetaCycle