full.score

a list returned by <code>mgcv:::gam.setup</code>

family

a list returned be <code><a href="/link/gam.control?package=mgcv&version=1.7-13" rd-options="" data-mini-rdoc="mgcv::gam.control">gam.control</a></code>

control

the degrees of freedom inflation factor (usually 1).

gamma

other arguments, typically for passing on to <code>gam.fit</code>.

Evaluates GCV/UBRE score for a GAM, given smoothing
parameters. The routine calls <code><a href="/link/gam.fit?package=mgcv&version=1.7-13" rd-options="" data-mini-rdoc="mgcv::gam.fit">gam.fit</a></code> to fit the model, and is
usually called by <code><a href="/link/nlm?package=mgcv&version=1.7-13" rd-options="" data-mini-rdoc="mgcv::nlm">nlm</a></code> to optimize the smoothing parameters. <p></p><p>This is basically a service routine for <code><a href="/link/gam?package=mgcv&version=1.7-13" rd-options="" data-mini-rdoc="mgcv::gam">gam</a></code>, and is not usually 
called directly by users. It is only used in this context for GAMs fitted by
outer iteration (see <code><a href="/link/gam.outer?package=mgcv&version=1.7-13" rd-options="" data-mini-rdoc="mgcv::gam.outer">gam.outer</a></code>) when the the outer method is 
<code>"nlm.fd"</code> (see <code><a href="/link/gam?package=mgcv&version=1.7-13" rd-options="" data-mini-rdoc="mgcv::gam">gam</a></code> argument <code>optimizer</code>).</p>

models

regression

smooth

Routines for GAMs and other generalized ridge regression
        with multiple smoothing parameter selection by GCV, REML or
        UBRE/AIC. Also GAMMs by REML or PQL. Includes a gam() function.

full.score: GCV/UBRE score for use within nlm

Description

Usage

Arguments

Value