decide

This function returns a logical TRUE/FALSE value, indicating whether the proposed transition should be accepted (TRUE) or rejected (FALSE).

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

decide function

<dl><dt>logMetropolisRatio</dt>
<dd>The log of the Metropolis-Hastings ratio, which is calculated from model probabilities and forward/reverse transition probabilities. Calculated as the ratio of the model probability under the proposal to that under the current values multiplied by the ratio of the reverse transition probability to the forward transition probability.</dd></dl>

Arguments

Author

Makes the Metropolis-Hastings acceptance decision, based upon the input (log) Metropolis-Hastings ratio — decide

<dl>

<dt>logMetropolisRatio</dt>
<dd>The log of the Metropolis-Hastings ratio, which is calculated from model probabilities and forward/reverse transition probabilities. Calculated as the ratio of the model probability under the proposal to that under the current values multiplied by the ratio of the reverse transition probability to the forward transition probability.</dd>

</dl>

Makes the Metropolis-Hastings acceptance decision, based upon the input (log) Metropolis-Hastings ratio

decide: Makes the Metropolis-Hastings acceptance decision, based upon the input (log) Metropolis-Hastings ratio

Description

Usage

Arguments

Author

Details