Installation
About
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"
Key Metrics
Downloads
Yesterday | 6 0% |
Last 7 days | 54 -17% |
Last 30 days | 192 -2% |
Last 90 days | 566 -31% |
Last 365 days | 2.469 -13% |