MetaCycle
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.
- Version1.2.0
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release04/18/2019
Documentation
Team
Gang Wu
Ron Anafi
Show author detailsRolesAuthor, ContributorJohn Hogenesch
Show author detailsRolesAuthor, ContributorMichael Hughes
Show author detailsRolesAuthor, ContributorKarl Kornacker
Show author detailsRolesAuthor, ContributorXavier Li
Show author detailsRolesAuthor, ContributorMatthew Carlucci
Show author detailsRolesAuthor, Contributor
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Dependencies
- Imports1 package
- Suggests2 packages