Package: spEDM
Title: Spatial Empirical Dynamic Modeling
Version: 1.12
Authors@R: 
    person(given = "Wenbo", family = "Lyu",
           email = "lyu.geosocial@gmail.com", 
           role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0009-0002-6003-3800"))
Description: 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>, together with geographical pattern causality proposed in Zhang & Wang (2025) <doi:10.1080/13658816.2025.2581207>.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.3
URL: https://stscl.github.io/spEDM/, https://github.com/stscl/spEDM
BugReports: https://github.com/stscl/spEDM/issues
Depends: R (>= 4.1.0)
LinkingTo: Rcpp, RcppThread, RcppArmadillo
Imports: dplyr, ggplot2, methods, sdsfun (>= 0.7.0), sf, terra
Suggests: knitr, Rcpp, RcppThread, RcppArmadillo, rmarkdown, readr,
        plot3D
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-04-05 13:54:07 UTC; dell
Author: Wenbo Lyu [aut, cre, cph] (ORCID:
    <https://orcid.org/0009-0002-6003-3800>)
Maintainer: Wenbo Lyu <lyu.geosocial@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-05 14:20:02 UTC
Built: R 4.5.3; x86_64-w64-mingw32; 2026-04-23 21:12:53 UTC; windows
Archs: x64
