gp_mdi | R Documentation |
\sigma, \xi
)For information about this and other priors see set_prior
.
gp_mdi(pars, a = 1, min_xi = -1, max_xi = Inf, trendsd = 0)
pars |
A numeric vector of length 2.
GP parameters ( |
a |
A numeric scalar. The default value of 1 gives the MDI prior. |
min_xi |
A numeric scalar. Prior lower bound on |
max_xi |
A numeric scalar. Prior upper bound on |
trendsd |
Has no function other than to achieve compatibility with function in the evdbayes package. |
The log of the prior density.
Northrop, P.J. and Attalides, N. (2016) Posterior propriety in Bayesian extreme value analyses using reference priors Statistica Sinica, 26(2), 721–743 \Sexpr[results=rd]{tools:::Rd_expr_doi("10.5705/ss.2014.034")}.
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