multispatialCCM: Multispatial Convergent Cross Mapping
Version 1.0

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
Date of publication2014-10-19 01:55:59
MaintainerAdam Clark <adam.tclark@gmail.com>
LicenseGPL (>= 2)
Version1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("multispatialCCM")

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multispatialCCM documentation built on May 29, 2017, 7:04 p.m.