R: Fit Spatial Generalized Extreme Value Models

# Fit Spatial Generalized Extreme Value Models

## Documentation for package ‘SpatialGEV’ version 1.0.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

CAsnow | Gridded monthly total snowfall in Canada from 1987 to 2021.
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
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_model | 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.spatialGEVfit | Summary method for spatialGEVfit
summary.spatialGEVpred | Summary method for spatialGEVpred
summary.spatialGEVsam | Summary method for spatialGEVsam