pjnewcombe/R2BGLiMS: R interface to the java package BGLiMS (Bayesian Generalised Linear Model Selection).
Version 0.1-09-11-2017

Provides an R interface to a Java package for fitting Bayesian GLMs. Approximate posterior samples are drawn using an MCMC sampler with a (Reversible Jump) Metropolis-Hastings acceptance ratio. Currently, Logistic and Weibull regression models are available. - Allows models to be fitted with random intercepts. - Allows model selection analyses via Reversible Jump.

Getting started

Package details

AuthorPaul J Newcombe <[email protected]>
MaintainerPaul J Newcombe <[email protected]>
LicenseGPL (>=2)
Version0.1-09-11-2017
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("pjnewcombe/R2BGLiMS")
pjnewcombe/R2BGLiMS documentation built on Nov. 10, 2017, 1:51 a.m.