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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3 |
rolling source/ R- | tEDM_1.3.tar.gz |
2.4 MiB |
1.3 |
rolling linux/jammy R-4.5 | tEDM_1.3.tar.gz |
2.5 MiB |
1.3 |
rolling linux/noble R-4.5 | tEDM_1.3.tar.gz |
2.6 MiB |
1.3 |
latest source/ R- | tEDM_1.3.tar.gz |
2.4 MiB |
1.3 |
latest linux/jammy R-4.5 | tEDM_1.3.tar.gz |
2.5 MiB |
1.3 |
latest linux/noble R-4.5 | tEDM_1.3.tar.gz |
2.6 MiB |
1.3 |
2026-04-23 source/ R- | tEDM_1.3.tar.gz |
2.4 MiB |
1.3 |
2026-04-09 windows/windows R-4.5 | tEDM_1.3.zip |
2.8 MiB |