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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2.1 |
rolling linux/jammy R-4.5 | MetaCycle_1.2.1.tar.gz |
1014.2 KiB |
1.2.1 |
rolling linux/noble R-4.5 | MetaCycle_1.2.1.tar.gz |
1014.1 KiB |
1.2.1 |
rolling source/ R- | MetaCycle_1.2.1.tar.gz |
1.4 MiB |
1.2.1 |
latest linux/jammy R-4.5 | MetaCycle_1.2.1.tar.gz |
1014.2 KiB |
1.2.1 |
latest linux/noble R-4.5 | MetaCycle_1.2.1.tar.gz |
1014.1 KiB |
1.2.1 |
latest source/ R- | MetaCycle_1.2.1.tar.gz |
1.4 MiB |
1.2.1 |
2026-04-26 source/ R- | MetaCycle_1.2.1.tar.gz |
1.4 MiB |
1.2.1 |
2026-04-23 source/ R- | MetaCycle_1.2.1.tar.gz |
1.4 MiB |
1.2.1 |
2026-04-09 windows/windows R-4.5 | MetaCycle_1.2.1.zip |
1016.1 KiB |
1.2.0 |
2025-04-20 source/ R- | MetaCycle_1.2.0.tar.gz |
1.4 MiB |