Contains a collection of helper functions to use with 'RBi', the R interface to 'LibBi', described in Murray et al. (2015)

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

The easiest way to install `rbi.helpers`

is to use the `devtools`

package:

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

- new vignette: Introduction to rbi.helpers
- removed bloated
`plot`

function; plotting is now covered by the RBi vignette - adaptive MCMC using the full empirical covariance
- speed up proposal and particle adaptations by avoiding recompiles
`quiet`

option to`adapt_mcmc`

and`adapt_particles`

- times operations to convert between numeric and R times/dates
- innumerable bug fixes

- Bug fixes and cosmetic changes

- initial version