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BeastJar
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", "1.10.6")
Attach the package and use:
library("BeastJar")
Maintained by
Marc A. Suchard
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-10-13
Latest Update: 2020-10-26
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 1.10.6, https://cran.r-project.org/web/packages/BeastJar
Previous versions and publish date:
1.10.5 (2020-10-13 15:50)
Other packages that cited BeastJar R package
View BeastJar citation profile
Other R packages that BeastJar depends,
imports, suggests or enhances
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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