tEDM

cranv1.3

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 card

License GPL-3strong copyleft0 versions1 maintainers4 deps63 weekly dl
stscl/tEDM
47
/ 100
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safe to use

[email protected] is safe to use (health: 47/100)

Health breakdown0 – 100
20/25
maintenance
0/20
popularity
25/25
security
0/15
maturity
2/15
community
Vulnerabilities
0
none known
⚠ Possible typosquat
Name is close to a popular package. Targets:
tzdb (adjacent_swap_or_double dist 2)tm (close_name dist 2)

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Dependencies (4)
dplyrggplot2methodsRcpp
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First published · 2026-03-30 15:53:48

Last updated · 2026-03-30T14:40:02+00:00