print.bassBasis

Print some of the details of a BASS model.

Bayesian fitting and sensitivity analysis methods for adaptive
spline surfaces described in <doi:10.18637/jss.v094.i08>. Built to handle continuous and categorical inputs as well as
functional or scalar output. An extension of the methodology in Denison, Mallick
and Smith (1998) <doi:10.1023/A:1008824606259>.

Devin Francom

BASS

Bayesian Adaptive Spline Surfaces

Bruno Sanso

Kellin Rumsey

print.bassBasis function

<dl><dt>x</dt>
<dd>a <code>bassBasis</code> object, returned from <code>bassPCA</code> or <code>bassBasis</code>.</dd>
<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd></dl>

Arguments

Print BASS Details — print.bassBasis

<dl>

<dt>x</dt>
<dd>a <code>bassBasis</code> object, returned from <code>bassPCA</code> or <code>bassBasis</code>.</dd>


<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd>

</dl>

print.bassBasis: Print BASS Details

Description

Usage

Arguments