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mvPot

Multivariate Peaks-over-Threshold Modelling for Spatial Extreme Events

Tools for high-dimensional peaks-over-threshold inference and simulation of Brown-Resnick and extremal Student spatial extremal processes. These include optimization routines based on censored likelihood and gradient scoring, and exact simulation algorithms for max-stable and multivariate Pareto distributions based on rejection sampling. Fast multivariate Gaussian and Student distribution functions using separation-of-variable algorithm with quasi Monte Carlo integration are also provided. Key references include de Fondeville and Davison (2018) <doi:10.1093/biomet/asy026>, Thibaud and Opitz (2015) <doi:10.1093/biomet/asv045>, Wadsworth and Tawn (2014) <doi:10.1093/biomet/ast042> and Genz and Bretz (2009) <doi:10.1007/978-3-642-01689-9>.

Versions across snapshots

VersionRepositoryFileSize
0.1.7 rolling linux/jammy R-4.5 mvPot_0.1.7.tar.gz 118.1 KiB
0.1.7 rolling linux/noble R-4.5 mvPot_0.1.7.tar.gz 118.8 KiB
0.1.7 rolling source/ R- mvPot_0.1.7.tar.gz 25.7 KiB
0.1.7 latest linux/jammy R-4.5 mvPot_0.1.7.tar.gz 118.1 KiB
0.1.7 latest linux/noble R-4.5 mvPot_0.1.7.tar.gz 118.8 KiB
0.1.7 latest source/ R- mvPot_0.1.7.tar.gz 25.7 KiB
0.1.7 2026-04-26 source/ R- mvPot_0.1.7.tar.gz 25.7 KiB
0.1.7 2026-04-23 source/ R- mvPot_0.1.7.tar.gz 25.7 KiB
0.1.7 2026-04-09 windows/windows R-4.5 mvPot_0.1.7.zip 188.2 KiB
0.1.7 2025-04-20 source/ R- mvPot_0.1.7.tar.gz 25.7 KiB

Dependencies (latest)

Imports