dynlib

Add the platform dependent dynlib extension. In order for examples
to work across platforms DLLs should be loaded by
<code>dyn.load(dynlib("name"))</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

dynlib function

<dl><dt>name</dt>
<dd>Library name without extension</dd></dl>

Arguments

Add dynlib extension — dynlib

<dl>

<dt>name</dt>
<dd>Library name without extension</dd>

</dl>

Add dynlib extension

dynlib: Add dynlib extension

Description

Usage

Value

Arguments