Package: MetaCycle
Type: Package
Title: Evaluate Periodicity in Large Scale Data
Version: 1.2.1
Encoding: UTF-8
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, stats, utils
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
Repository: CRAN
RoxygenNote: 7.3.1
Packaged: 2026-02-02 01:05:49 UTC; wug8hn
Date/Publication: 2026-02-02 03:20:02 UTC
Built: R 4.6.0; ; 2026-04-26 01:12:46 UTC; unix
