Package: multispatialCCM 1.3

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.

Authors:Adam Clark

multispatialCCM_1.3.tar.gz
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multispatialCCM_1.3.tgz(r-4.4-x86_64)multispatialCCM_1.3.tgz(r-4.4-arm64)multispatialCCM_1.3.tgz(r-4.3-x86_64)multispatialCCM_1.3.tgz(r-4.3-arm64)
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multispatialCCM.pdf |multispatialCCM.html✨
multispatialCCM/json (API)

Peer review:

Bug tracker:https://github.com/adamtclark/multispatialccm/issues

On CRAN:

6 exports 5 stars 1.60 score 0 dependencies 2 mentions 20 scripts 419 downloads

Last updated 11 months agofrom:6d318264b9. Checks:OK: 9. Indexed: yes.

Exports:CCM_bootCCM_bootstrapccmtestmake_ccm_dataSSR_check_signalSSR_pred_boot

Dependencies: