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 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 |
| Reference manual: | BeastJar.pdf |
| 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 imports: | EvidenceSynthesis |
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