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.

Version: 1.0
Depends: R (≥ 3.0.2)
Published: 2014-10-19
Author: Adam Clark
Maintainer: Adam Clark <adam.tclark at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: multispatialCCM results


Reference manual: multispatialCCM.pdf
Package source: multispatialCCM_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: multispatialCCM_1.0.tgz, r-oldrel: multispatialCCM_1.0.tgz
OS X Mavericks binaries: r-release: multispatialCCM_1.0.tgz