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' software library of Suchard et al (2018) <doi:10.1093/ve/vey016>. 'BEAST' 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' JAR in this package, we offer an efficient distribution system for 'BEAST' use by other R packages using CRAN.

Version: 1.10.6
Imports: rJava
Suggests: testthat
Published: 2020-10-26
DOI: 10.32614/CRAN.package.BeastJar
Author: Marc A. Suchard [aut, cre, cph], Andrew Rambaut [cph], Alexei J. Drummond [cph]
Maintainer: Marc A. Suchard <msuchard at>
License: Apache License 2.0
Copyright: See file COPYRIGHTS
BeastJar copyright details
NeedsCompilation: no
SystemRequirements: Java (>= 1.8)
Materials: README NEWS
CRAN checks: BeastJar results


Reference manual: BeastJar.pdf


Package source: BeastJar_1.10.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): BeastJar_1.10.6.tgz, r-oldrel (arm64): BeastJar_1.10.6.tgz, r-release (x86_64): BeastJar_1.10.6.tgz, r-oldrel (x86_64): BeastJar_1.10.6.tgz
Old sources: BeastJar archive

Reverse dependencies:

Reverse imports: EvidenceSynthesis


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