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Provides an implementation of the reversible jump piecewise deterministic Markov processes (PDMPs) methods developed in the paper Reversible Jump PDMP Samplers for Variable Selection (Chevallier, Fearnhead, Sutton 2020, <arXiv:2010.11771>). It also contains an implementation of a Gibbs sampler for variable selection in Logistic regression based on PolyaGamma augmentation.
Package details 


Author  Matt Sutton, Augustin Chevalier, Paul Fearnhead, with PolyaGamma simulation code contributed from Jesse Windle and James G. Scott (<https://github.com/jgscott/helloPG>) 
Maintainer  Matt Sutton <matt.sutton.stat@gmail.com> 
License  GPL (>= 2) 
Version  2.0.0 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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