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)
- Version0.2.2
- R version≥ 3.5.0
- LicenseBSD_3_clause
- Licensefile LICENSE
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- nimbleHMC citation info
- Last release06/28/2024
Documentation
Team
Daniel Turek
Perry de Valpine
Show author detailsRolesAuthorChristopher Paciorek
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- Depends2 packages
- Imports1 package
- Suggests1 package
- Reverse Suggests1 package