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multispatialCCM
View on CRAN: Click
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Download and install multispatialCCM package within the R console
Install from CRAN:
install.packages("multispatialCCM")
Install from Github:
library("remotes")
install_github("cran/multispatialCCM")
Install by package version:
library("remotes")
install_version("multispatialCCM", "1.3")
Attach the package and use:
library("multispatialCCM")
Maintained by
Adam Clark
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-10-19
Latest Update: 2022-05-11
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
How to cite:
Adam Clark (2014). multispatialCCM: Multispatial Convergent Cross Mapping. R package version 1.3, https://cran.r-project.org/web/packages/multispatialCCM. Accessed 21 Nov. 2024.
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imports, suggests or enhances
Complete documentation for multispatialCCM
Functions, R codes and Examples using
the multispatialCCM R package
Some associated functions: CCM_boot . CCM_bootstrap . SSR_check_signal . SSR_pred_boot . ccmtest . make_ccm_data . multispatialCCM-package .
Some associated R codes: CCM_boot.R . SSR_check_signal.R . SSR_pred_boot.R . ccmtest.R . make_ccm_data.R . Full multispatialCCM package functions and examples
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