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
Author:	Marc A. Suchard [aut, cre, cph], Andrew Rambaut [cph], Alexei J. Drummond [cph]
Maintainer:	Marc A. Suchard <msuchard at ucla.edu>
License:	Apache License 2.0
Copyright:	See file COPYRIGHTS BeastJar copyright details
URL:	https://github.com/beast-dev/BeastJar
NeedsCompilation:	no
SystemRequirements:	Java (>= 1.8)
Materials:	README NEWS
CRAN checks:	BeastJar results

Documentation:

Reference manual:

BeastJar.pdf

Downloads:

Package source:	BeastJar_1.10.6.tar.gz
Windows binaries:	r-devel: BeastJar_1.10.6.zip, r-release: BeastJar_1.10.6.zip, r-oldrel: BeastJar_1.10.6.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BeastJar to link to this page.