makeParamInfo

Creates a simple getParam_info object, which has a list with a paramID and a type

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, Laplace
Approximation, 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 Rodríguez

Duncan Temple Lang

Wei Zhang

Sally Paganin

Joshua Hug

Paul van Dam-Bates

Jagadish Babu

Lauren Ponisio

Peter Sujan

makeParamInfo function

<dl><dt>model</dt>
<dd>A model such as returned by <code>nimbleModel</code>.</dd>
<dt>nodes</dt>
<dd>A character string naming one one or more stochastic nodes, such as "mu", "c('mu', 'beta[2]')", or "eta[1:3, 2]". getParam only works for one node at a time, but if it is indexed (nodes[i]), then makeParamInfo sets up the information for the entire vector nodes. The processing pathway is used by the NIMBLE compiler.</dd>
<dt>param</dt>
<dd>A character string naming a parameter of the distribution followed by node, such as "mean", "rate", "lambda", or whatever parameter names are relevant for the distribution of the node.</dd>
<dt>vector</dt>
<dd>A logical indicating whether nodes should definitely be treated as a vector in compiled code, even if it has length = 1. For type consistency, the compiler needs this option. If nodes has length &gt; 1, this argument is ignored.</dd></dl>

Arguments

Make an object of information about a model-parameter pairing for getParam.  Used internally — makeParamInfo

<dl>

<dt>model</dt>
<dd>A model such as returned by <code>nimbleModel</code>.</dd>


<dt>nodes</dt>
<dd>A character string naming one one or more stochastic nodes, such as "mu", "c('mu', 'beta[2]')", or "eta[1:3, 2]". getParam only works for one node at a time, but if it is indexed (nodes[i]), then makeParamInfo sets up the information for the entire vector nodes. The processing pathway is used by the NIMBLE compiler.</dd>


<dt>param</dt>
<dd>A character string naming a parameter of the distribution followed by node, such as "mean", "rate", "lambda", or whatever parameter names are relevant for the distribution of the node.</dd>


<dt>vector</dt>
<dd>A logical indicating whether nodes should definitely be treated as a vector in compiled code, even if it has length = 1. For type consistency, the compiler needs this option. If nodes has length &gt; 1, this argument is ignored.</dd>

</dl>

Make an object of information about a model-parameter pairing for getParam.  Used internally

makeParamInfo: Make an object of information about a model-parameter pairing for getParam. Used internally

Description

Usage

Arguments

Details