Package: spEDM 1.3

Wenbo Lv

spEDM: Spatial Empirical Dynamic Modeling

Analyze causality in geospatial data using empirical dynamic modeling (EDM) through geographical convergent cross mapping (GCCM) by Gao et al. (2023) <doi:10.1038/s41467-023-41619-6> and multispatial convergent cross mapping (multispatialCCM) by Clark et al. (2015) <doi:10.1890/14-1479.1>.

Authors:Wenbo Lv [aut, cre, cph]

spEDM_1.3.tar.gz
spEDM_1.3.zip(r-4.5)spEDM_1.3.zip(r-4.4)spEDM_1.3.zip(r-4.3)
spEDM_1.3.tgz(r-4.4-x86_64)spEDM_1.3.tgz(r-4.4-arm64)spEDM_1.3.tgz(r-4.3-x86_64)spEDM_1.3.tgz(r-4.3-arm64)
spEDM_1.3.tar.gz(r-4.5-noble)spEDM_1.3.tar.gz(r-4.4-noble)
spEDM_1.3.tgz(r-4.4-emscripten)spEDM_1.3.tgz(r-4.3-emscripten)
spEDM.pdf |spEDM.html✨
spEDM/json (API)
NEWS

# Install 'spEDM' in R:

install.packages('spEDM', repos = c('https://stscl.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/stscl/spedm/issues

Pkgdown site:https://stscl.github.io

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

causal-inference cpp empirical-dynamic-modeling geoinformatics geospatial-causality spatial-statistics cpp

5.54 score 10 stars 2 scripts 365 downloads 1 exports 55 dependencies

Last updated 2 hours agofrom:c00fc5d65b. Checks:9 OK. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Jan 18 2025
R-4.5-win-x86_64	OK	Jan 18 2025
R-4.5-linux-x86_64	OK	Jan 18 2025
R-4.4-win-x86_64	OK	Jan 18 2025
R-4.4-mac-x86_64	OK	Jan 18 2025
R-4.4-mac-aarch64	OK	Jan 18 2025
R-4.3-win-x86_64	OK	Jan 18 2025
R-4.3-mac-x86_64	OK	Jan 18 2025
R-4.3-mac-aarch64	OK	Jan 18 2025