Package: BeastJar 10.4.999

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' 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.

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

BeastJar_10.4.999.tar.gz
BeastJar_10.4.999.zip(r-4.5)BeastJar_10.4.999.zip(r-4.4)BeastJar_10.4.999.zip(r-4.3)
BeastJar_10.4.999.tgz(r-4.4-any)BeastJar_10.4.999.tgz(r-4.3-any)
BeastJar_10.4.999.tar.gz(r-4.5-noble)BeastJar_10.4.999.tar.gz(r-4.4-noble)
BeastJar_10.4.999.tgz(r-4.4-emscripten)BeastJar_10.4.999.tgz(r-4.3-emscripten)
BeastJar.pdf |BeastJar.html
BeastJar/json (API)
NEWS

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

Peer review:

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

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

On CRAN:

openjdk

3.18 score 1 stars 1 packages 2 scripts 246 downloads 1 exports 1 dependencies

Last updated 3 months agofrom:56f2b406ed. Checks:7 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 08 2025
R-4.5-winOKJan 08 2025
R-4.5-linuxOKJan 08 2025
R-4.4-winOKJan 08 2025
R-4.4-macOKJan 08 2025
R-4.3-winOKJan 08 2025
R-4.3-macOKJan 08 2025

Exports:supportsJava8

Dependencies:rJava