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 626 downloads 1 exports 1 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK130
source / vignettesOK226
linux-releaseOK129
macos-releaseOK151
macos-oldrelOK175
windows-develOK70
windows-releaseOK65
windows-oldrelOK66
wasm-releaseOK131

Exports:supportsJava8

Dependencies:rJava