{ "_id": "6a1f10e0b401979e7341d8c9", "Package": "nimbleHMC", "Title": "Hamiltonian Monte Carlo and Other Gradient-Based MCMC Sampling\nAlgorithms for 'nimble'", "Version": "0.2.4", "Date": "2025-12-15", "Authors@R": "c(person(\"Daniel\", \"Turek\", role = c(\"aut\", \"cre\"), email = \"danielturek@gmail.com\"),\nperson(\"Perry\", \"de Valpine\", role = \"aut\"),\nperson(\"Christopher\", \"Paciorek\", role = \"aut\"))", "Maintainer": "Daniel Turek ", "Description": "Provides gradient-based MCMC sampling algorithms for use\nwith the MCMC engine provided by the 'nimble' package. This\nincludes two versions of Hamiltonian Monte Carlo (HMC)\nNo-U-Turn (NUTS) sampling, and (under development) Langevin\nsamplers. The `NUTS_classic` sampler implements the original\nHMC-NUTS algorithm as described in Hoffman and Gelman (2014)\n. The `NUTS` sampler is a modern\nversion of HMC-NUTS sampling matching the HMC sampler available\nin version 2.32.2 of Stan (Stan Development Team, 2023). 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