gp_norm: Bivariate normal prior for GP parameters (log sigma, xi)

In paulnorthrop/revdbayes: Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis

Bivariate normal prior for GP parameters (log \sigma, \xi)

Description

For information about this and other priors see set_prior.

Usage

gp_norm(pars, mean, icov, min_xi = -Inf, max_xi = Inf, trendsd = 0)

Arguments

pars	A numeric vector of length 2. GP parameters (\sigma, \xi).
mean	A numeric vector of length 2. Prior mean.
icov	A 2x2 numeric matrix. The inverse of the prior covariance matrix.
min_xi	A numeric scalar. Prior lower bound on \xi.
max_xi	A numeric scalar. Prior upper bound on \xi.
trendsd	Has no function other than to achieve compatibility with function in the evdbayes package.

Value

The log of the prior density.

paulnorthrop/revdbayes documentation built on March 20, 2024, 1:01 a.m.