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) . '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.


Reference manual

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1.10.6 by Marc A. Suchard, a year ago


Browse source code at https://github.com/cran/BeastJar

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

Documentation:   PDF Manual  

Apache License 2.0 license

Imports rJava

Suggests testthat

System requirements: Java (>= 1.8)

Imported by EvidenceSynthesis.

See at CRAN