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BeastJar  

JAR Dependency for MCMC Using 'BEAST'
View on CRAN: Click here


Download and install BeastJar package within the R console
Install from CRAN:
install.packages("BeastJar")

Install from Github:
library("remotes")
install_github("cran/BeastJar")

Install by package version:
library("remotes")
install_version("BeastJar", "10.5.1")



Attach the package and use:
library("BeastJar")
Maintained by
Marc A. Suchard
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-10-13
Latest Update: 2025-07-20
Description:
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.
How to cite:
Marc A. Suchard (2020). BeastJar: JAR Dependency for MCMC Using 'BEAST'. R package version 10.5.1, https://cran.r-project.org/web/packages/BeastJar. Accessed 25 Jun. 2026.
Previous versions and publish date:
1.10.5 (2020-10-13 15:50), 1.10.6 (2020-10-26 15:20), 10.5.0 (2025-07-20 02:00)
Other packages that cited BeastJar R package
View BeastJar citation profile
Other R packages that BeastJar depends, imports, suggests or enhances
Complete documentation for BeastJar
Functions, R codes and Examples using the BeastJar R package
Some associated functions: BeastJar . supportsJava8 . 
Some associated R codes: BeastJar.R . Utilities.R .  Full BeastJar package functions and examples
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