Package: pmwg 0.2.7

Gavin Cooper

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://university-of-newcastle-research.github.io/samplerDoc/> and includes several detailed examples, some background and troubleshooting steps.

Authors:Gavin Cooper [aut, cre, trl], Reilly Innes [aut], Caroline Kuhne [aut], Jon-Paul Cavallaro [aut], David Gunawan [aut], Guy Hawkins [aut], Scott Brown [aut, trl], Niek Stevenson [aut]

pmwg_0.2.7.tar.gz
pmwg_0.2.7.zip(r-4.5)pmwg_0.2.7.zip(r-4.4)pmwg_0.2.7.zip(r-4.3)
pmwg_0.2.7.tgz(r-4.4-any)pmwg_0.2.7.tgz(r-4.3-any)
pmwg_0.2.7.tar.gz(r-4.5-noble)pmwg_0.2.7.tar.gz(r-4.4-noble)
pmwg_0.2.7.tgz(r-4.4-emscripten)pmwg_0.2.7.tgz(r-4.3-emscripten)
pmwg.pdf |pmwg.html
pmwg/json (API)

# Install 'pmwg' in R:
install.packages('pmwg', repos = c('https://university-of-newcastle-research.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/university-of-newcastle-research/pmwg/issues

Datasets:

On CRAN:

7 exports 4 stars 1.47 score 7 dependencies 29 scripts 272 downloads

Last updated 8 months agofrom:c69e141b92. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 13 2024
R-4.5-winOKSep 13 2024
R-4.5-linuxOKSep 13 2024
R-4.4-winOKSep 13 2024
R-4.4-macOKSep 13 2024
R-4.3-winOKSep 13 2024
R-4.3-macOKSep 13 2024

Exports:as_mcmcaugment_sampler_epsiloninitis.pmwgspmwgsrelabel_samplesrun_stage

Dependencies:backportscheckmatecodacondMVNormlatticeMASSmvtnorm

Introduction to pmwg

Rendered frompmwg.Rmdusingknitr::rmarkdownon Sep 13 2024.

Last update: 2024-01-29
Started: 2021-02-17