dynlib

name


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.

dynlib: Add dynlib extension

Description

Usage

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