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.

Package details

AuthorAdam Clark
MaintainerAdam Clark <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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multispatialCCM documentation built on May 2, 2019, 6:01 a.m.