Package: Rtwalk
Type: Package
Title: An MCMC Sampler Using the t-Walk Algorithm
Version: 2.0.1
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 <rodrigo03.villa@gmail.com>
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)
        <doi:10.1214/10-BA603>. The t-walk requires no tuning and is
        robust for a wide range of target distributions, including
        high-dimensional and multimodal problems. This implementation
        includes an option for running multiple chains in parallel to
        accelerate sampling and facilitate convergence diagnostics.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.2
Imports: parallel, stats, utils, graphics, grDevices, coda
Suggests: mvtnorm, devtools, roxygen2, knitr, rmarkdown, ellipse,
VignetteBuilder: knitr
URL: https://github.com/rodrigosqrt3/Rtwalk
BugReports: https://github.com/rodrigosqrt3/Rtwalk/issues
Repository: https://rodrigosqrt3.r-universe.dev
Date/Publication: 2026-03-11 13:39:51 UTC
RemoteUrl: https://github.com/rodrigosqrt3/rtwalk
RemoteRef: HEAD
RemoteSha: 17cdb55b4d951ce411c98b76040451039f921792
NeedsCompilation: no
Packaged: 2026-06-09 06:55:53 UTC; root
Author: Rodrigo Fonseca Villa [aut, cre] (ORCID:
    <https://orcid.org/0009-0005-2938-2270>)