Package: multispatialCCM
Title: Multispatial Convergent Cross Mapping
Version: 1.2
Date: 2022-05-10
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
NeedsCompilation: yes
Packaged: 2022-05-11 16:03:28 UTC; aclark
Repository: CRAN
Date/Publication: 2022-05-11 16:20:02 UTC
Built: R 4.1.2; x86_64-apple-darwin17.0; 2022-05-12 10:26:48 UTC; unix
Archs: multispatialCCM.so.dSYM
