Package: Rtwalk Type: Package Title: An MCMC Sampler Using the t-Walk Algorithm Version: 2.2.0 Authors@R: person("Rodrigo Fonseca", "Villa", email = "rodrigo03.villa@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0009-0005-2938-2270")) Maintainer: Rodrigo Fonseca Villa Description: 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) . License: GPL-3 Encoding: UTF-8 RoxygenNote: 7.3.3 Config/testthat/edition: 3 Depends: R (>= 3.6.0) Imports: codetools, parallel, stats, utils, graphics, grDevices, coda, Rcpp LinkingTo: Rcpp Suggests: testthat (>= 3.0.0), covr, mvtnorm, devtools, pkgload, posterior, roxygen2, knitr, rmarkdown, ellipse VignetteBuilder: knitr URL: https://github.com/rodrigosqrt3/Rtwalk BugReports: https://github.com/rodrigosqrt3/Rtwalk/issues NeedsCompilation: yes Packaged: 2026-10-30 21:07:45 UTC; root Author: Rodrigo Fonseca Villa [aut, cre] (ORCID: ) Repository: https://cran.r-universe.dev Date/Publication: 2026-10-30 19:32:21 UTC RemoteUrl: https://github.com/cran/Rtwalk RemoteRef: HEAD RemoteSha: 84410ea4c7278e0f29a333aa5aeda49646875df4