newtonOption

Inner-problem options can be set for a model object using this
function.

With this tool, a user should be able to quickly implement
complex random effect models through simple C++ templates. The package combines
'CppAD' (C++ automatic differentiation), 'Eigen' (templated matrix-vector
library) and 'CHOLMOD' (sparse matrix routines available from R) to obtain
an efficient implementation of the applied Laplace approximation with exact
derivatives. Key features are: Automatic sparseness detection, parallelism
through 'BLAS' and parallel user templates.

Kasper Kristensen

Template Model Builder: A General Random Effect Tool Inspired by
'ADMB'

Brad Bell

Hans Skaug

Arni Magnusson

Casper Berg

Anders Nielsen

Martin Maechler

Theo Michelot

Mollie Brooks

Alex Forrence

Christoffer Moesgaard Albertsen

Cole Monnahan

newtonOption function

<dl><dt>obj</dt>
<dd>Object from <code>MakeADFun</code> for which to change settings.</dd>
<dt>...</dt>
<dd>Parameters for the <code>newton</code> optimizer to set.</dd></dl>

Arguments

Set newton options for a model object. — newtonOption

<dl>

<dt>obj</dt>
<dd>Object from <code>MakeADFun</code> for which to change settings.</dd>


<dt>...</dt>
<dd>Parameters for the <code>newton</code> optimizer to set.</dd>

</dl>

Set newton options for a model object.

newtonOption: Set newton options for a model object.

Description

Usage

Value

Arguments