Package: tEDM
Title: Temporal Empirical Dynamic Modeling
Version: 1.3
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 time series data through empirical dynamic modeling (EDM), with methods such as convergent cross mapping from Sugihara et al. (2012) <doi:10.1126/science.1227079>, partial cross mapping introduced by Leng et al. (2020) <doi:10.1038/s41467-020-16238-0>, and cross mapping cardinality described in Tao et al. (2023) <doi:10.1016/j.fmre.2023.01.007>, following a systematic description proposed in Lyu et al. (2026) <doi:10.1016/j.compenvurbsys.2026.102435>.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.3
URL: https://stscl.github.io/tEDM/, https://github.com/stscl/tEDM
BugReports: https://github.com/stscl/tEDM/issues
Depends: R (>= 4.1.0)
LinkingTo: Rcpp, RcppThread, RcppArmadillo
Imports: dplyr, ggplot2, methods, Rcpp
Suggests: RcppThread, RcppArmadillo, readr, plot3D, spEDM, knitr,
        rmarkdown, purrr, tidyr, cowplot
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-03-30 14:53:51 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: 2026-03-30 15:40:02 UTC
Built: R 4.5.3; x86_64-w64-mingw32; 2026-08-24 04:19:28 UTC; windows
Archs: x64
