multispatialCCM
Multispatial Convergent Cross Mapping
The multispatial convergent cross mapping algorithm can be used as a test for causal associations between pairs of processes represented by time series. This is a combination of convergent cross mapping (CCM), described in Sugihara et al., 2012, Science, 338, 496-500, and dew-drop regression, described in Hsieh et al., 2008, American Naturalist, 171, 71–80. The algorithm allows CCM to be implemented on data that are not from a single long time series. Instead, data can come from many short time series, which are stitched together using bootstrapping.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3 |
rolling linux/jammy R-4.5 | multispatialCCM_1.3.tar.gz |
51.2 KiB |
1.3 |
rolling linux/noble R-4.5 | multispatialCCM_1.3.tar.gz |
51.2 KiB |
1.3 |
rolling source/ R- | multispatialCCM_1.3.tar.gz |
13.3 KiB |
1.3 |
latest linux/jammy R-4.5 | multispatialCCM_1.3.tar.gz |
51.2 KiB |
1.3 |
latest linux/noble R-4.5 | multispatialCCM_1.3.tar.gz |
51.2 KiB |
1.3 |
latest source/ R- | multispatialCCM_1.3.tar.gz |
13.3 KiB |
1.3 |
2026-04-26 source/ R- | multispatialCCM_1.3.tar.gz |
13.3 KiB |
1.3 |
2026-04-23 source/ R- | multispatialCCM_1.3.tar.gz |
13.3 KiB |
1.3 |
2026-04-09 windows/windows R-4.5 | multispatialCCM_1.3.zip |
58.4 KiB |
1.3 |
2025-04-20 source/ R- | multispatialCCM_1.3.tar.gz |
13.3 KiB |