pmwg: Particle Metropolis Within Gibbs

Provides an R implementation of the Particle Metropolis within Gibbs sampler for model parameter, covariance matrix and random effect estimation. A more general implementation of the sampler based on the paper by Gunawan, D., Hawkins, G. E., Tran, M. N., Kohn, R., & Brown, S. D. (2020) <doi:10.1016/j.jmp.2020.102368>. An HTML tutorial document describing the package is available at <https://newcastlecl.github.io/samplerDoc/> and includes several detailed examples, some background and troubleshooting steps.

Package details

AuthorGavin Cooper [aut, cre, trl] (Package creator and maintainer), Reilly Innes [aut], Caroline Kuhne [aut], Jon-Paul Cavallaro [aut], David Gunawan [aut] (Author of original MATLAB code), Guy Hawkins [aut], Scott Brown [aut, trl] (Original translation from MATLAB to R)
MaintainerGavin Cooper <gavin@gavincooper.net>
LicenseGPL-3
Version0.2.0
URL https://github.com/newcastlecl/pmwg
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("pmwg")

Try the pmwg package in your browser

Any scripts or data that you put into this service are public.

pmwg documentation built on Feb. 17, 2021, 9:07 a.m.