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)BeastJar_10.5.1.zip(r-4.6)BeastJar_10.5.1.zip(r-4.5)
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 461 downloads 1 exports 1 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK129
source / vignettesOK181
linux-release-x86_64OK125
macos-release-arm64OK216
macos-oldrel-arm64OK157
windows-develOK80
windows-releaseOK70
windows-oldrelOK74
wasm-releaseOK112

Exports:supportsJava8

Dependencies:rJava