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nimbleHMC: Hamiltonian Monte Carlo and Other Gradient-Based MCMC Sampling Algorithms for 'nimble'
Provides gradient-based MCMC sampling algorithms for use with the MCMC engine provided by the 'nimble' package. This includes two versions of Hamiltonian Monte Carlo (HMC) No-U-Turn (NUTS) sampling, and (under development) Langevin samplers. The `NUTS_classic` sampler implements the original HMC-NUTS algorithm as described in Hoffman and Gelman (2014) <doi:10.48550/arXiv.1111.4246>. The `NUTS` sampler is a modern version of HMC-NUTS sampling matching the HMC sampler available in version 2.32.2 of Stan (Stan Development Team, 2023). In addition, convenience functions are provided for generating and modifying MCMC configuration objects which employ HMC sampling.
Getting started
Browse package contents
Package details |
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| Author | Daniel Turek [aut, cre], Perry de Valpine [aut], Christopher Paciorek [aut] |
| Maintainer | Daniel Turek <danielturek@gmail.com> |
| License | BSD_3_clause + file LICENSE | GPL (>= 2) |
| Version | 0.2.3 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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