Package: multispatialCCM
Title: Multispatial Convergent Cross Mapping
Version: 1.3
Date: 2023-10-22
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
Repository: CRAN
Packaged: 2023-10-22 17:17:32 UTC; aclark
Date/Publication: 2023-10-22 17:30:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-25 20:39:10 UTC; unix
Archs: multispatialCCM.so.dSYM
