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mvPot (version 0.1.7)

Multivariate Peaks-over-Threshold Modelling for Spatial Extreme Events

Description

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) , Thibaud and Opitz (2015) , Wadsworth and Tawn (2014) and Genz and Bretz (2009) .

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install.packages('mvPot')

Monthly Downloads

1,834

Version

0.1.7

License

GPL-2

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Maintainer

Leo Belzile

Last Published

March 13th, 2025

Functions in mvPot (0.1.7)

genVecQMC

Generating vectors for lattice rules
mvPot-package

Multivariate Peaks-over-Threshold Modelling for Extreme Events Analysis
simulPareto

Simulate log-Gaussian Pareto random vectors
simulBrownResnick

Simulation of Brown--Resnick max-stable random vectors
censoredLikelihoodBR

Censored log-likelihood function for the Brown--Resnick model.
scoreEstimation

Gradient score function for the Brown--Resnick model.
mvTProbQuasiMonteCarlo

Multivariate t distribution function
rExtremalStudentParetoProcess

Simulation of extremal Student generalized Pareto vectors
mvtNormQuasiMonteCarlo

Multivariate normal distribution function
censoredLikelihoodXS

Censored log-likelihood function of the extremal Student model
spectralLikelihood

Spectral log-likelihood function