RevBayes

RevBayes implements Bayesian inference for phylogenetics using probabilistic graphical models and the Rev language to specify and estimate complex evolutionary models.


Key Features:

  • Probabilistic Graphical Models: Specifies statistical models for phylogenetic analysis using probabilistic graphical models.
  • Interactive Model Specification: Uses the Rev language, similar to R and BUGS, for programmatic definition of phylogenetic graphical models.
  • Computational Efficiency: Demonstrates superior performance in standard analyses relative to competing software.
  • Explicit Model Components: Requires explicit definition of each model component for phylogenetic analyses.
  • Transparency: Makes model choices explicit to facilitate critical examination and methodological improvement.

Scientific Applications:

  • Methodological Advancements: Promotes improvements in phylogenetic modeling through transparent and explicit model specification.

Methodology:

Utilizes probabilistic graphical models, the Rev language for interactive model definition, and explicit component specification to enhance transparency and computational efficiency in Bayesian phylogenetics.

Topics

Details

License:
GPL-3.0
Tool Type:
command-line tool
Operating Systems:
Windows, Mac
Programming Languages:
C++
Added:
10/31/2018
Last Updated:
1/13/2019

Operations

Publications

Höhna S, Landis MJ, Heath TA, Boussau B, Lartillot N, Moore BR, Huelsenbeck JP, Ronquist F. RevBayes: Bayesian Phylogenetic Inference Using Graphical Models and an Interactive Model-Specification Language. Systematic Biology. 2016;65(4):726-736. doi:10.1093/sysbio/syw021. PMID:27235697. PMCID:PMC4911942.

Documentation

Links