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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>.
Getting started
Browse package contents
Package details |
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| Author | Mengran Li [aut, cre], Daniela Castro-Camilo [aut] |
| Maintainer | Mengran Li <m.li.3@research.gla.ac.uk> |
| License | GPL (>= 3) |
| Version | 1.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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