gp_mdi

For information about this and other priors see <code>set_prior</code>.

revdbayes

gp_mdi function

<dl><dt>pars</dt>
<dd>A numeric vector of length 2.
GP parameters (\(\sigma, \xi\)).</dd>
<dt>a</dt>
<dd>A numeric scalar. The default value of 1 gives the
MDI prior.</dd>
<dt>min_xi</dt>
<dd>A numeric scalar. Prior lower bound on \(\xi\).
Must not be <code>-Inf</code> because this results in an improper posterior.
See Northrop and Attalides (2016) for details.</dd>
<dt>max_xi</dt>
<dd>A numeric scalar. Prior upper bound on \(\xi\).</dd>
<dt>trendsd</dt>
<dd>Has no function other than to achieve compatibility with
function in the evdbayes package.</dd></dl>

Arguments

Maximal data information (MDI) prior for GP parameters
(\(\sigma, \xi\)) — gp_mdi

<dl>

<dt>pars</dt>
<dd>A numeric vector of length 2.
GP parameters (\(\sigma, \xi\)).</dd>


<dt>a</dt>
<dd>A numeric scalar. The default value of 1 gives the
MDI prior.</dd>


<dt>min_xi</dt>
<dd>A numeric scalar. Prior lower bound on \(\xi\).
Must not be <code>-Inf</code> because this results in an improper posterior.
See Northrop and Attalides (2016) for details.</dd>


<dt>max_xi</dt>
<dd>A numeric scalar. Prior upper bound on \(\xi\).</dd>


<dt>trendsd</dt>
<dd>Has no function other than to achieve compatibility with
function in the evdbayes package.</dd>

</dl>

gp_mdi: Maximal data information (MDI) prior for GP parameters (\(\sigma, \xi\))

Description

Usage

Value

Arguments

References