ADNimbleList

<code>nimbleList</code> definition for the type of <code>nimbleList</code> returned by <code>nimDerivs</code>.

datasets

A system for writing hierarchical statistical models largely
compatible with 'BUGS' and 'JAGS', writing nimbleFunctions to operate models
and do basic R-style math, and compiling both models and nimbleFunctions via
custom-generated C++. 'NIMBLE' includes default methods for MCMC, Monte Carlo
Expectation Maximization, and some other tools. The nimbleFunction system makes
it easy to do things like implement new MCMC samplers from R, customize the
assignment of samplers to different parts of a model from R, and compile the
new samplers automatically via C++ alongside the samplers 'NIMBLE' provides.
'NIMBLE' extends the 'BUGS'/'JAGS' language by making it extensible: New
distributions and functions can be added, including as calls to external
compiled code. Although most people think of MCMC as the main goal of the
'BUGS'/'JAGS' language for writing models, one can use 'NIMBLE' for writing
arbitrary other kinds of model-generic algorithms as well. A full User Manual is
available at <https://r-nimble.org>.

Christopher Paciorek

nimble

MCMC, Particle Filtering, and Programmable Hierarchical Modeling

Perry de Valpine

Daniel Turek

Nick Michaud

Cliff Anderson-Bergman

Fritz Obermeyer

Claudia Wehrhahn Cortes

Abel Rodrìguez

Duncan Temple Lang

Sally Paganin

Joshua Hug

Jagadish Babu

Lauren Ponisio

Peter Sujan

ADNimbleList function

An object of class <code>list</code> of length 1.

Format

<dl>
<dt><code>value</code></dt>
<dd>The value of the function evaluated at the given input arguments.</dd></dl>
<dt><code>gradient</code></dt>
<dd>The gradient of the function evaluated at the given input arguments.</dd>
<dt><code>hessian</code></dt>
<dd>The Hessian of the function evaluated at the given input arguments.</dd>
<dt><code>thirdDerivs</code></dt>
<dd>Currently unused.</dd>

Fields

EXPERIMENTAL Data type for the return value of nimDerivs — ADNimbleList

<dl>
<dt><code>value</code></dt>
<dd>The value of the function evaluated at the given input arguments.</dd>


<dt><code>gradient</code></dt>
<dd>The gradient of the function evaluated at the given input arguments.</dd>


<dt><code>hessian</code></dt>
<dd>The Hessian of the function evaluated at the given input arguments.</dd>


<dt><code>thirdDerivs</code></dt>
<dd>Currently unused.</dd>


</dl>

EXPERIMENTAL Data type for the return value of <code>nimDerivs</code>

ADNimbleList: EXPERIMENTAL Data type for the return value of `nimDerivs`

Description

Usage

Arguments

Format

Fields

See Also