Package: multispatialCCM
Title: Multispatial Convergent Cross Mapping
Version: 1.0
Date: 2014-10-18
Author: Adam Clark
Maintainer: Adam Clark <adam.tclark@gmail.com>
Depends: R (>= 3.0.2)
Description: 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.
License: GPL (>= 2)
Encoding: UTF-8
Packaged: 2014-10-18 23:48:53 UTC; atclark
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-10-19 01:55:59
Built: R 3.1.1; x86_64-apple-darwin10.8.0; 2014-10-19 13:36:54 UTC; unix
Archs: multispatialCCM.so.dSYM
