makeParamInfo

A model such as returned by <code><a rd-options="" href="/link/nimbleModel?package=nimble&version=0.7.1" data-mini-rdoc="nimble::nimbleModel">nimbleModel</a></code>.

model

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.

nodes

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.

param

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, particle filtering, 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

makeParamInfo function

A model such as returned by <code><a rd-options='' href='nimbleModel'>nimbleModel</a></code>.

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

Description

Usage

Arguments

Details