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.
|Author||Paul J Newcombe <[email protected]>|
|Maintainer||Paul J Newcombe <[email protected]>|
|Package repository||View on GitHub|
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