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 <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. 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)
    <doi:10.1214/20-BA1221>.
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: 2026-10-29 22:19:16 UTC; rodri
Author: Rodrigo Fonseca Villa [aut, cre] (ORCID:
    <https://orcid.org/0009-0005-2938-2270>)
Repository: CRAN
Date/Publication: 2026-10-30 09:51:03 UTC
