# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "Rtwalk" in publications use:' type: software license: GPL-3.0-only title: 'Rtwalk: An MCMC Sampler Using the t-Walk Algorithm' version: 2.2.0 doi: 10.32614/CRAN.package.Rtwalk abstract: Implements the t-walk algorithm, a general-purpose, self-adjusting Markov Chain Monte Carlo (MCMC) sampler for continuous distributions as described by Christen & Fox (2010) . The t-walk requires no tuning and is robust for a wide range of target distributions, including high-dimensional and multimodal problems. The sampler is implemented in C++ and validated against a pure R reference implementation of the published algorithm. The package supports reproducible parallel chains, continuation of runs, single transitions for hybrid samplers, and convergence diagnostics following Vehtari et al. (2021) . authors: - family-names: Villa given-names: Rodrigo Fonseca email: rodrigo03.villa@gmail.com orcid: https://orcid.org/0009-0005-2938-2270 repository: https://cran.r-universe.dev repository-code: https://github.com/rodrigosqrt3/Rtwalk commit: 84410ea4c7278e0f29a333aa5aeda49646875df4 url: https://github.com/rodrigosqrt3/Rtwalk date-released: '2026-10-30' contact: - family-names: Villa given-names: Rodrigo Fonseca email: rodrigo03.villa@gmail.com orcid: https://orcid.org/0009-0005-2938-2270