ADsparse

adsparse

Sparse matrices in RTMB are essentially <code>dgCMatrix</code> with an <code>advector</code> x-slot.

Native 'R' interface to 'TMB' (Template Model Builder) so models can be written entirely in 'R' rather than 'C++'. Automatic differentiation, to any order, is available for a rich subset of 'R' features, including linear algebra for dense and sparse matrices, complex arithmetic, Fast Fourier Transform, probability distributions and special functions. 'RTMB' provides easy access to model fitting and validation following the principles of Kristensen, K., Nielsen, A., Berg, C. W., Skaug, H., & Bell, B. M. (2016) <DOI:10.18637/jss.v070.i05> and Thygesen, U.H., Albertsen, C.M., Berg, C.W. et al. (2017) <DOI:10.1007/s10651-017-0372-4>.

Kasper Kristensen

RTMB

'R' Bindings for 'TMB'

ADsparse function

<dl>
<dt><code>x</code></dt>
<dd>Non-zeros</dd></dl>
<dt><code>i</code></dt>
<dd>row indices (zero based)</dd>
<dt><code>p</code></dt>
<dd>col pointers (zero based)</dd>
<dt><code>Dim</code></dt>
<dd>Dimension</dd>

Slots

AD sparse matrix class — ADsparse

<dl>
<dt><code>x</code></dt>
<dd>Non-zeros</dd>


<dt><code>i</code></dt>
<dd>row indices (zero based)</dd>


<dt><code>p</code></dt>
<dd>col pointers (zero based)</dd>


<dt><code>Dim</code></dt>
<dd>Dimension</dd>


</dl>

ADsparse: AD sparse matrix class

Description

Arguments

Slots