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tEDM: Temporal Empirical Dynamic Modeling

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 as outlined in Leng et al. (2020) <doi:10.1038/s41467-020-16238-0>, and cross mapping cardinality as described in Tao et al. (2023) <doi:10.1016/j.fmre.2023.01.007>.

Version: 1.0
Depends: R (≥ 4.1.0)
Imports: dplyr, ggplot2, methods, Rcpp
LinkingTo: Rcpp, RcppThread, RcppArmadillo
Suggests: RcppThread, RcppArmadillo, readr, plot3D, spEDM, knitr, rmarkdown, purrr, tidyr, cowplot
Published: 2025-07-15
DOI: 10.32614/CRAN.package.tEDM
Author: Wenbo Lv ORCID iD [aut, cre, cph]
Maintainer: Wenbo Lv <lyu.geosocial at gmail.com>
BugReports: https://github.com/stscl/tEDM/issues
License: GPL-3
URL: https://stscl.github.io/tEDM/, https://github.com/stscl/tEDM
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: tEDM results

Documentation:

Reference manual: tEDM.pdf
Vignettes: tEDM (source)

Downloads:

Package source: tEDM_1.0.tar.gz
Windows binaries: r-devel: not available, r-release: tEDM_1.0.zip, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): tEDM_1.0.tgz, r-oldrel (x86_64): tEDM_1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=tEDM to link to this page.

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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