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spEDM: Spatial Empirical Dynamic Modeling

Inferring causation from spatial cross-sectional data through empirical dynamic modeling (EDM), with methodological extensions including geographical convergent cross mapping from Gao et al. (2023) <doi:10.1038/s41467-023-41619-6>, as well as the spatial causality test following the approach of Herrera et al. (2016) <doi:10.1111/pirs.12144>.

Version: 1.6
Depends: R (≥ 4.1.0)
Imports: dplyr, ggplot2, methods, sdsfun (≥ 0.7.0), sf, terra
LinkingTo: Rcpp, RcppThread, RcppArmadillo
Suggests: knitr, Rcpp, RcppThread, RcppArmadillo, rmarkdown, readr, plot3D
Published: 2025-05-16
DOI: 10.32614/CRAN.package.spEDM
Author: Wenbo Lv ORCID iD [aut, cre, cph]
Maintainer: Wenbo Lv <lyu.geosocial at gmail.com>
BugReports: https://github.com/stscl/spEDM/issues
License: GPL-3
URL: https://stscl.github.io/spEDM/, https://github.com/stscl/spEDM
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: spEDM results

Documentation:

Reference manual: spEDM.pdf
Vignettes: GCCM (source)
GCMC (source)
SCT (source)
SSR (source)
spEDM (source)

Downloads:

Package source: spEDM_1.6.tar.gz
Windows binaries: r-devel: spEDM_1.5.zip, r-release: spEDM_1.6.zip, r-oldrel: spEDM_1.5.zip
macOS binaries: r-release (arm64): spEDM_1.6.tgz, r-oldrel (arm64): spEDM_1.6.tgz, r-release (x86_64): spEDM_1.5.tgz, r-oldrel (x86_64): spEDM_1.5.tgz
Old sources: spEDM archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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