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.

Author
Adam Clark
Date of publication
2014-10-19 01:55:59
Maintainer
Adam Clark <adam.tclark@gmail.com>
License
GPL (>= 2)
Version
1.0

View on CRAN

Man pages

CCM_boot
Run multispatial CCM algorithm on two time series
ccmtest
Test for significant causal signal
make_ccm_data
Makes fake data for other functions
multispatialCCM-package
multispatial convergent cross mapping analysis
SSR_check_signal
Test process for auto-predictability.
SSR_pred_boot
State space reconstruction function

Files in this package

multispatialCCM
multispatialCCM/src
multispatialCCM/src/CCM_bootstrap.c
multispatialCCM/src/SSR_predict_boot.c
multispatialCCM/NAMESPACE
multispatialCCM/R
multispatialCCM/R/make_ccm_data.R
multispatialCCM/R/multispatialCCM-internal.R
multispatialCCM/R/SSR_check_signal.R
multispatialCCM/R/ccmtest.R
multispatialCCM/R/CCM_boot.R
multispatialCCM/R/SSR_pred_boot.R
multispatialCCM/MD5
multispatialCCM/DESCRIPTION
multispatialCCM/man
multispatialCCM/man/CCM_boot.Rd
multispatialCCM/man/SSR_pred_boot.Rd
multispatialCCM/man/SSR_check_signal.Rd
multispatialCCM/man/multispatialCCM-package.Rd
multispatialCCM/man/ccmtest.Rd
multispatialCCM/man/make_ccm_data.Rd