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:	1.3
Depends:	R (≥ 3.0.2)
Published:	2023-10-22
DOI:	10.32614/CRAN.package.multispatialCCM
Author:	Adam Clark
Maintainer:	Adam Clark <adam.tclark at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
CRAN checks:	multispatialCCM results

Documentation:

Reference manual:

multispatialCCM.pdf

Downloads:

Package source:	multispatialCCM_1.3.tar.gz
Windows binaries:	r-devel: multispatialCCM_1.3.zip, r-release: multispatialCCM_1.3.zip, r-oldrel: multispatialCCM_1.3.zip
macOS binaries:	r-release (arm64): multispatialCCM_1.3.tgz, r-oldrel (arm64): multispatialCCM_1.3.tgz, r-release (x86_64): multispatialCCM_1.3.tgz, r-oldrel (x86_64): multispatialCCM_1.3.tgz
Old sources:	multispatialCCM archive

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