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Revbayes: Bayesian Phylogenetic Inference Using Graphical Models And An Interactive Model-Specification Language, Sebastian Höhna, Michael J. Landis, Tracy A. Heath, Nicolas Lartillot, Brian R. Moore, John P. Huelsenbeck, Fredrik Ronquist
Revbayes: Bayesian Phylogenetic Inference Using Graphical Models And An Interactive Model-Specification Language, Sebastian Höhna, Michael J. Landis, Tracy A. Heath, Nicolas Lartillot, Brian R. Moore, John P. Huelsenbeck, Fredrik Ronquist
Tracy Heath
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 …