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 X' software library of Baele et al (2025) . 'BEAST X' 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 X' JAR in this package, we offer an efficient distribution system for 'BEAST X' use by other R packages using CRAN.


BeastJar

R build status

The goal of BeastJar is to ...

Installation

You can install the released version of BeastJar from CRAN with:

install.packages("BeastJar")

Example

This is a basic example which shows you how to solve a common problem:

library(BeastJar)
## basic example code

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("BeastJar")

10.5.1 by Marc A. Suchard, a year ago


https://github.com/beast-dev/BeastJar


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