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, 496500, and dewdrop 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 


Author  Adam Clark 
Maintainer  Adam Clark <[email protected]> 
License  GPL (>= 2) 
Version  1.0 
Package repository  View on CRAN 
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