Package: BeastJar 1.10.6
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:
BeastJar_1.10.6.tar.gz
BeastJar_1.10.6.tar.gz(r-4.5-noble)BeastJar_1.10.6.tar.gz(r-4.4-noble)
BeastJar_1.10.6.tgz(r-4.4-emscripten)BeastJar_1.10.6.tgz(r-4.3-emscripten)
BeastJar.pdf |BeastJar.html✨
BeastJar/json (API)
NEWS
| # Install 'BeastJar' in R: |
| install.packages('BeastJar', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/beast-dev/beastjar/issues
Last updated 4 years agofrom:502fff0cbe. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 18 2024 |
| R-4.5-linux | OK | Nov 18 2024 |
Exports:supportsJava8
Dependencies:rJava
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| BeastJar | BeastJar |
| Determine if Java virtual machine supports Java | supportsJava8 |
