hmclearn
Fit Statistical Models Using Hamiltonian Monte Carlo
Provide users with a framework to learn the intricacies of the Hamiltonian Monte Carlo algorithm with hands-on experience by tuning and fitting their own models. All of the code is written in R. Theoretical references are listed below:. Neal, Radford (2011) "Handbook of Markov Chain Monte Carlo" ISBN: 978-1420079418, Betancourt, Michael (2017) "A Conceptual Introduction to Hamiltonian Monte Carlo" <arXiv:1701.02434>, Thomas, S., Tu, W. (2020) "Learning Hamiltonian Monte Carlo in R" <arXiv:2006.16194>, Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013) "Bayesian Data Analysis" ISBN: 978-1439840955, Agresti, Alan (2015) "Foundations of Linear and Generalized Linear Models ISBN: 978-1118730034, Pinheiro, J., Bates, D. (2006) "Mixed-effects Models in S and S-Plus" ISBN: 978-1441903174.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.0.5 |
rolling source/ R- | hmclearn_0.0.5.tar.gz |
1.8 MiB |
0.0.5 |
rolling linux/jammy R-4.5 | hmclearn_0.0.5.tar.gz |
1.0 MiB |
0.0.5 |
rolling linux/noble R-4.5 | hmclearn_0.0.5.tar.gz |
1.0 MiB |
0.0.5 |
latest source/ R- | hmclearn_0.0.5.tar.gz |
1.8 MiB |
0.0.5 |
latest linux/jammy R-4.5 | hmclearn_0.0.5.tar.gz |
1.0 MiB |
0.0.5 |
latest linux/noble R-4.5 | hmclearn_0.0.5.tar.gz |
1.0 MiB |
0.0.5 |
2026-04-23 source/ R- | hmclearn_0.0.5.tar.gz |
1.8 MiB |
0.0.5 |
2026-04-09 windows/windows R-4.5 | hmclearn_0.0.5.zip |
1.0 MiB |
0.0.5 |
2025-04-20 source/ R- | hmclearn_0.0.5.tar.gz |
1.8 MiB |