full.score

Evaluates GCV/UBRE score for a GAM, given smoothing
parameters. The routine calls <code>gam.fit</code> to fit the model, and is
usually called by <code><a href="/link/nlm?package=mgcv&version=1.9-0" data-mini-rdoc="mgcv::nlm">nlm</a></code> to optimize the smoothing parameters.
This is basically a service routine for <code>gam</code>, and is not usually 
called directly by users. It is only used in this context for GAMs fitted by
outer iteration (see <code>gam.outer</code>) when the the outer method is 
<code>"nlm.fd"</code> (see <code>gam</code> argument <code>optimizer</code>).

models

regression

smooth

Generalized additive (mixed) models, some of their extensions and
other generalized ridge regression with multiple smoothing
parameter estimation by (Restricted) Marginal Likelihood,
Generalized Cross Validation and similar, or using iterated
nested Laplace approximation for fully Bayesian inference. See
Wood (2017) <doi:10.1201/9781315370279> for an overview.
Includes a gam() function, a wide variety of smoothers, 'JAGS'
support and distributions beyond the exponential family.

Simon Wood

mgcv

Mixed GAM Computation Vehicle with Automatic Smoothness
Estimation

full.score function

<dl><dt>sp</dt>
<dd>The logs of the smoothing parameters</dd>
<dt>G</dt>
<dd>a list returned by <code>mgcv:::gam.setup</code></dd>
<dt>family</dt>
<dd>The family object for the GAM.</dd>
<dt>control</dt>
<dd>a list returned be <code>gam.control</code></dd>
<dt>gamma</dt>
<dd>the degrees of freedom inflation factor (usually 1).</dd><dt>...</dt>
<dd>other arguments, typically for passing on to <code>gam.fit</code>.</dd></dl>

Arguments

Simon N. Wood <a href="/link/simon.wood%40r-project.org?package=mgcv&version=1.9-0" data-mini-rdoc="mgcv::simon.wood@r-project.org">simon.wood@r-project.org</a>

Author

Evaluates GCV/UBRE score for a GAM, given smoothing
parameters. The routine calls <code>gam.fit</code> to fit the model, and is
usually called by <code><a href='https://rdrr.io/r/stats/nlm.html'>nlm</a></code> to optimize the smoothing parameters.
This is basically a service routine for <code>gam</code>, and is not usually 
called directly by users. It is only used in this context for GAMs fitted by
outer iteration (see <code>gam.outer</code>) when the the outer method is 
<code>"nlm.fd"</code> (see <code>gam</code> argument <code>optimizer</code>).

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

<dl>

<dt>sp</dt>
<dd>The logs of the smoothing parameters</dd>


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


<dt>family</dt>
<dd>The family object for the GAM.</dd>


<dt>control</dt>
<dd>a list returned be <code>gam.control</code></dd>


<dt>gamma</dt>
<dd>the degrees of freedom inflation factor (usually 1).</dd>



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

</dl>

Simon N. Wood <a href='mailto:simon.wood@r-project.org'>simon.wood@r-project.org</a>

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

Description

Usage

Value

Arguments

Author