'RBi' Helper Functions

Contains a collection of helper functions to use with 'RBi', the R interface to 'LibBi', described in Murray et al. (2015) . It contains functions to adapt the proposal distribution and number of particles in particle Markov-Chain Monte Carlo, as well as calculating the Deviance Information Criterion (DIC) and converting between times in 'LibBi' results and R time/dates.

RBi.helpers is collection of helper functions to use with RBi, an R interface to LibBi, a library for Bayesian Inference.

It contains:

• adapt_proposal, to adapt the proposal distribution of a model according to the empirical standard deviations of accepted parameters
• adapt_particles, to adapt the number of particles at a given point in parameter space.
• DIC, to compute the DIC of a pMCMC run
• acceptance_rate, to calculate the acceptance rate of a pMCMC run

Installation

The easiest way to install rbi.helpers is to use the devtools package:

library(devtools)
install_github("sbfnk/rbi.helpers")