Package: MetaCycle
Type: Package
Title: Evaluate Periodicity in Large Scale Data
Version: 1.2.0
Authors@R: c(
    person("Gang", "Wu",, email = "wggucas@gmail.com", role = c("aut", "cre")),
    person("Ron", "Anafi",, email = "ranafi@gmail.com", role = c("aut", "ctb")),
	person("John", "Hogenesch",, email = "hogenesch@gmail.com", role = c("aut", "ctb")),
	person("Michael", "Hughes",, email = "michael.evan.hughes@gmail.com", role = c("aut", "ctb")),
	person("Karl", "Kornacker",, email = "kornacker@midohio.twcbc.com", role = c("aut", "ctb")),
	person("Xavier", "Li",, email = "haohan.li.97@gmail.com", role = c("aut", "ctb")),
	person("Matthew", "Carlucci",, email = "matt.carlucci.96@gmail.com", role = c("aut", "ctb"))
    )
Description: 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.
Depends: R (>= 3.0.2)
Imports: gnm
Suggests: knitr, rmarkdown, parallel
VignetteBuilder: knitr
License: GPL (>= 2)
LazyData: true
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@gmail.com>
NeedsCompilation: no
RoxygenNote: 6.1.1
Packaged: 2026-06-11 07:32:17 UTC; root
Repository: https://gangwug.r-universe.dev
Date/Publication: 2026-03-13 16:45:33 UTC
RemoteUrl: https://github.com/gangwug/metacycle
RemoteRef: HEAD
RemoteSha: fad6d443e8407d44983d1f9fe73976d5e90fb4da