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
NeedsCompilation: no
Packaged: 2026-02-04 16:36:17 UTC; rodri
Author: Rodrigo Fonseca Villa [aut, cre] (ORCID:
    <https://orcid.org/0009-0005-2938-2270>)
Repository: CRAN
Date/Publication: 2026-02-05 12:40:02 UTC
Built: R 4.6.0; ; 2026-04-27 02:35:59 UTC; unix
