buildIteratedFilter2

<p>This function has been moved to the `nimbleSMC` package</p>

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

Jagadish Babu

Lauren Ponisio

Peter Sujan

buildIteratedFilter2 function

Placeholder for buildIteratedFilter2 — buildIteratedFilter2

Placeholder for buildIteratedFilter2

buildIteratedFilter2: Placeholder for buildIteratedFilter2

Description

Usage

Arguments