RevBayes: Bayesian Phylogenetic Inference Using Graphical Models and an Interactive Model-Specification Language

Programs for Bayesian inference of phylogeny currently implement a unique and fixed suite of models. Consequently, users of these software packages are simultaneously forced to use a number of programs for a given study, while also lacking the freedom to explore models that have not been implemented by the developers of those programs. We developed a new open-source software package, RevBayes, to address these problems. RevBayes is entirely based on probabilistic graphical models, a powerful generic framework for specifying and analyzing statistical models. Phylogenetic-graphical models can be specified interactively in RevBayes, piece by piece, using a new succinct and intuitive language called Rev. Rev is…

• NS
  National Science Foundation

  Awards: DEB-1256993, DBI-1356737, DEB-1457835, 1256993, DEB-0919529, 1457835, 0842181, 0919529, 1356737
• AC
  Adolph C. and Mary Sprague Miller Institute for Basic Research in Science, University of California Berkeley
• NE
  National Evolutionary Synthesis Center
• V
  Vetenskapsrådet