extractControlElement

control list object, which is passed as an argument to all MCMC sampler setup functions.

controlList

character string, giving the name of the element to be extracted from the control list.

elementName

default value of the control list element, giving the value to be used when the elementName does not exactly match the name of an element in the controlList.

defaultValue

character string, giving the error message to be printed if no defaultValue is provided and elementName does not match the name of an element in the controlList.

error

Extract named elements from MCMC sampler control list

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

extractControlElement: Extract named elements from MCMC sampler control list

Description

Usage

Arguments

Value