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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>.
Getting started
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Package details |
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| Author | Wenbo Lv [aut, cre, cph] (ORCID: <https://orcid.org/0009-0002-6003-3800>) |
| Maintainer | Wenbo Lv <lyu.geosocial@gmail.com> |
| License | GPL-3 |
| Version | 1.1 |
| URL | https://stscl.github.io/tEDM/ https://github.com/stscl/tEDM |
| Package repository | View on CRAN |
| Installation |
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