This package is considered a duplicate. The official version of this package is found at:https://stscl.r-universe.dev/tEDM

Package: tEDM 1.3

Wenbo Lyu

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 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>.

Authors:Wenbo Lyu [aut, cre, cph]

# Install 'tEDM' in R:

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

Uses libs:

On CRAN:

Last updated from:e06ce4f70d. Checks:6 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	OK	196
linux-devel-x86_64	OK	191
source / vignettes	OK	287
linux-release-arm64	OK	202
linux-release-x86_64	OK	187
wasm-release	OK	198

Last update: 2026-03-30
Started: 2025-07-15

Help page	Topics
convergent cross mapping	ccm ccm,data.frame-method
cross mapping cardinality	cmc cmc,data.frame-method
embedding time series data	embedded embedded,data.frame-method
false nearest neighbours	fnn fnn,data.frame-method
optimal parameter search for intersectional cardinality	ic ic,data.frame-method
logistic map	logistic_map
multispatial convergent cross mapping	multispatialccm multispatialccm,list-method
partial cross mapping	pcm pcm,data.frame-method
optimal parameter search for simplex projection	simplex simplex,data.frame-method simplex,list-method
optimal parameter search for s-mapping	smap smap,data.frame-method