Fit Spatial Generalized Extreme Value Models

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Documentation for package ‘SpatialGEV’ version 1.0.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

grid_location	Grid the locations with fixed cell size
kernel_exp	Exponential covariance function
kernel_matern	Matern covariance function
matern_pc_prior	Helper funcion to specify a Penalized Complexity (PC) prior on the Matern hyperparameters
ONsnow	Monthly total snowfall in Ontario, Canada from 1987 to 2021.
print.spatialGEVfit	Print method for spatialGEVfit
print.spatialGEVpred	Print method for spatialGEVpred
print.spatialGEVsam	Print method for spatialGEVsam
r_nll	Calculate the negative marginal loglikelihood of the GEV-GP model.
simulatedData	Simulated dataset 1
simulatedData2	Simulated dataset 2
sim_cond_normal	Create a helper function to simulate from the conditional normal distribution of new data given old data
spatialGEV_fit	Fit a GEV-GP model.
spatialGEV_predict	Draw from the posterior predictive distributions at new locations based on a fitted GEV-GP model
spatialGEV_sample	Get posterior parameter draws from a fitted GEV-GP model.
summary.spatialGEVpred	Summary method for spatialGEVpred
summary.spatialGEVsam	Summary method for spatialGEVsam