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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.7 |
rolling linux/jammy R-4.5 | pmwg_0.2.7.tar.gz |
523.1 KiB |
0.2.7 |
rolling linux/noble R-4.5 | pmwg_0.2.7.tar.gz |
523.2 KiB |
0.2.7 |
rolling source/ R- | pmwg_0.2.7.tar.gz |
433.9 KiB |
0.2.7 |
latest linux/jammy R-4.5 | pmwg_0.2.7.tar.gz |
523.1 KiB |
0.2.7 |
latest linux/noble R-4.5 | pmwg_0.2.7.tar.gz |
523.2 KiB |
0.2.7 |
latest source/ R- | pmwg_0.2.7.tar.gz |
433.9 KiB |
0.2.7 |
2026-04-26 source/ R- | pmwg_0.2.7.tar.gz |
433.9 KiB |
0.2.7 |
2026-04-23 source/ R- | pmwg_0.2.7.tar.gz |
433.9 KiB |
0.2.7 |
2026-04-09 windows/windows R-4.5 | pmwg_0.2.7.zip |
528.6 KiB |
0.2.7 |
2025-04-20 source/ R- | pmwg_0.2.7.tar.gz |
433.9 KiB |