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.
Package details |
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Author | Paul J Newcombe <paul.newcombe@mrc-bsu.cam.ac.uk> |
Maintainer | Paul J Newcombe <paul.newcombe@mrc-bsu.cam.ac.uk> |
License | GPL (>=2) |
Version | 0.1-07-02-2020 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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