Package: BeastJar 10.5.1

Marc A. Suchard

BeastJar: JAR Dependency for MCMC Using 'BEAST'

Provides JAR to perform Markov chain Monte Carlo (MCMC) inference using the popular Bayesian Evolutionary Analysis by Sampling Trees 'BEAST X' software library of Baele et al (2025) <doi:10.1038/s41592-025-02751-x>. 'BEAST X' supports auto-tuning Metropolis-Hastings, slice, Hamiltonian Monte Carlo and Sequential Monte Carlo sampling for a large variety of composable standard and phylogenetic statistical models using high performance computing. By placing the 'BEAST X' JAR in this package, we offer an efficient distribution system for 'BEAST X' use by other R packages using CRAN.

Authors:Marc A. Suchard [aut, cre, cph], Andrew Rambaut [cph], Alexei J. Drummond [cph]

BeastJar_10.5.1.tar.gz
BeastJar_10.5.1.zip(r-4.7-any)BeastJar_10.5.1.zip(r-4.6-any)BeastJar_10.5.1.zip(r-4.5-any)
BeastJar_10.5.1.tgz(r-4.6-any)BeastJar_10.5.1.tgz(r-4.5-any)
BeastJar_10.5.1.tar.gz(r-4.7-any)BeastJar_10.5.1.tar.gz(r-4.6-any)
BeastJar_10.5.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
BeastJar/json (API)

# Install 'BeastJar' in R:
install.packages('BeastJar', repos = c('https://beast-dev.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/beast-dev/beastjar/issues

Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT

On CRAN:

Conda:

openjdk

3.18 score 1 stars 1 packages 2 scripts 391 downloads 1 exports 1 dependencies

Last updated from:0cbaee7d66. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK126
source / vignettesOK200
linux-release-x86_64OK133
macos-release-arm64OK168
macos-oldrel-arm64OK155
windows-develOK81
windows-releaseOK68
windows-oldrelOK73
wasm-releaseOK117

Exports:supportsJava8

Dependencies:rJava