Helper function to specify an integration grid used by the
sequential reduction algorithm available through the argument
<code>integrate</code> to <code>MakeADFun</code>.

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

SR function

<dl><dt>x</dt>
<dd>Breaks defining the domain of integration</dd>
<dt>discrete</dt>
<dd>Boolean defining integration wrt Lebesgue measure (<code>discrete=FALSE</code>) or counting measure <code>discrete=TRUE</code>.</dd></dl>

Arguments

Sequential reduction configuration — SR

<dl>

<dt>x</dt>
<dd>Breaks defining the domain of integration</dd>


<dt>discrete</dt>
<dd>Boolean defining integration wrt Lebesgue measure (<code>discrete=FALSE</code>) or counting measure <code>discrete=TRUE</code>.</dd>

</dl>

Sequential reduction configuration

SR: Sequential reduction configuration

Description

Usage

Arguments