pjnewcombe/R2BGLiMS: R interface to the java package BGLiMS (Bayesian Generalised Linear Model Selection).

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, and Linear regression models are available, as well as JAM for genetic summary data fine-mapping, JAMPred for polygenic risk scores, and JAMMR for summary data Mendelian Randomization.

Getting started

Package details

AuthorPaul J Newcombe <paul.newcombe@mrc-bsu.cam.ac.uk>
MaintainerPaul J Newcombe <paul.newcombe@mrc-bsu.cam.ac.uk>
LicenseGPL (>=2)
Version0.1-07-02-2020
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("pjnewcombe/R2BGLiMS")
pjnewcombe/R2BGLiMS documentation built on Feb. 10, 2020, 8:52 p.m.