Package: Rtwalk 2.0.1

Rtwalk: An MCMC Sampler Using the t-Walk Algorithm

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.

Authors:Rodrigo Fonseca Villa [aut, cre]

Rtwalk_2.0.1.tar.gz
Rtwalk_2.0.1.zip(r-4.7)Rtwalk_2.0.1.zip(r-4.6)Rtwalk_2.0.1.zip(r-4.5)
Rtwalk_2.0.1.tgz(r-4.6-any)Rtwalk_2.0.1.tgz(r-4.5-any)
Rtwalk_2.0.1.tar.gz(r-4.7-any)Rtwalk_2.0.1.tar.gz(r-4.6-any)
Rtwalk_2.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
Rtwalk/json (API)

# Install 'Rtwalk' in R:

install.packages('Rtwalk', repos = c('https://rodrigosqrt3.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rodrigosqrt3/rtwalk/issues

On CRAN:

4.89 score 31 scripts 163 downloads 3 exports 2 dependencies

Last updated from:17cdb55b4d. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	130
source / vignettes	OK	305
linux-release-x86_64	NOTE	128
macos-release-arm64	NOTE	130
macos-oldrel-arm64	NOTE	95
windows-devel	NOTE	82
windows-release	NOTE	73
windows-oldrel	NOTE	71
wasm-release	OK	111