dmvnorm                 Log density of a multivariate normal
                        distribution
f.double.prime          Second derivative of the posterior distribution
                        of a spatial GEV with respect a location random
                        effect
f.prime                 First derivative of the posterior of a spatial
                        GEV model with respect to a random effect in
                        the location parameter.
g.double.prime          The second derivative of a GEV distribution
                        with respect to a random effect parameter on
                        the precision kappa
g.prime                 The first derivative of the posterior density
                        of a spatial GEV model with respect to a given
                        random effect on the precision parameter.
gev.crps                Compute the Continuous Rank Probability Score
                        (CRPS)
gev.impute              Given the output of the MCMC, return a number
                        of samples for a new site.
gev.init                Initilizes a state object for a Spatial GEV
                        distribution
gev.like                The log likelihood of a GEV distribution
gev.logscore            Compute the Log Score
gev.process.results     Outputs some tables from the results of Spatial
                        GEV MCMC run
gev.results.init        Initialize a results object for spatial.bma.gev
gev.update              Updates all the parameters in a spatial GEV
                        model
gev.update.M            Sample a new model from the current model for
                        any linear regression system
gev.update.hyper        Updates the Gaussian Process hyperparameters in
                        the Spatial GEV model
gev.update.lambda       Update the lambda parameter in a Gaussian
                        Process
gev.update.tau.kappa    Update the random effects of the precision
                        parameter in a spatial GEV model
gev.update.tau.mu       Internal function to update the random effects
                        of the location parameter in a Spatial GEV
                        model.
gev.update.tau.xi       Update the random effects for the shape
                        parameter in a spatial GEV model
gev.update.theta        Update the linear parameters in a spatial GEV
                        model
gev.z.p                 Calculate the 1/p return level for a GEV
                        distribution
gp.like.lambda          The likelihood of a Gaussian process used to
                        initialize the lambda parameter
j.double.prime          The second derivative of a spatial GEV with
                        respect to a random effect in the shape
                        parameter
j.prime                 The first derivative of the posterior density
                        of a spatial GEV model with respect to a random
                        effect parameter on the shape.
l.double.prime          The second derivative of a Gaussian process
                        with respect to the parameter lambda.
l.prime                 First derivative of a GP with respect to lambda
logdet                  Returns the log determinant for a symmetric
                        positive definite matrix.
make.D                  Form the distance matrix for use in a Gaussian
                        Process
norway                  Extreme Precipitation Data at 69 Sites in
                        Norway
spatial.gev.bma         Run an MCMC to fit a hierarchical spatial
                        generalized extreme value (GEV) model with the
                        option for Bayesian model averaging (BMA)
spatial.gev.bma-package
                        Fit a Hierarchical Spatial Generalized Extreme
                        Value model that allows for Bayesian Model
                        Averaging
