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
Repository
https://github.com/revbayes/revbayesIssue tracker
https://github.com/revbayes/revbayes/issues