gev_flatflat: Flat prior for GEV parameters (mu, sigma, xi)

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

Flat prior for GEV parameters (\mu, \sigma, \xi)

Description

For information about this and other priors see set_prior.

Usage

gev_flatflat(pars, min_xi = -Inf, max_xi = Inf, trendsd = 0)

Arguments

pars	A numeric vector of length 3. GEV parameters (\mu, \sigma, \xi).
min_xi	A numeric scalar. Prior lower bound on \xi. Must not be -Inf because this results in an improper posterior.
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.

revdbayes documentation built on Sept. 10, 2023, 1:07 a.m.