eFCM
Exponential Factor Copula Model
Implements the exponential Factor Copula Model (eFCM) of Castro-Camilo, D. and Huser, R. (2020) for spatial extremes, with tools for dependence estimation, tail inference, and visualization. The package supports likelihood-based inference, Gaussian process modeling via Matérn covariance functions, and bootstrap uncertainty quantification. See Castro-Camilo and Huser (2020) <doi:10.1080/01621459.2019.1647842>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0 |
rolling source/ R- | eFCM_1.0.tar.gz |
1.6 MiB |
1.0 |
latest source/ R- | eFCM_1.0.tar.gz |
1.6 MiB |
1.0 |
2026-04-09 windows/windows R-4.5 | eFCM_1.0.zip |
2.2 MiB |