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<scp>BAMM</scp>tools: an R package for the analysis of evolutionary dynamics on phylogenetic trees

Daniel L. RaboskyDepartment of Ecology and Evolutionary Biology and Museum of Zoology University of Michigan Ann Arbor MI 48109 USAMichael C. GründlerDepartment of Ecology and Evolutionary Biology and Museum of Zoology University of Michigan Ann Arbor MI 48109 USACarlos AndersonDepartment of Ecology and Evolutionary Biology and Museum of Zoology University of Michigan Ann Arbor MI 48109 USAPascal O. TitleDepartment of Ecology and Evolutionary Biology and Museum of Zoology University of Michigan Ann Arbor MI 48109 USAJeff J. ShiDepartment of Ecology and Evolutionary Biology and Museum of Zoology University of Michigan Ann Arbor MI 48109 USAJoseph W. BrownDepartment of Ecology and Evolutionary Biology and Museum of Zoology University of Michigan Ann Arbor MI 48109 USAHuateng HuangDepartment of Ecology and Evolutionary Biology and Museum of Zoology University of Michigan Ann Arbor MI 48109 USAJoanna G. LarsonDepartment of Ecology and Evolutionary Biology and Museum of Zoology University of Michigan Ann Arbor MI 48109 USA
2014en
ABI

Аннотация

Summary Understanding the dynamics of speciation, extinction and phenotypic evolution is a central challenge in evolutionary biology. Here, we present BAMM tools, an r package for the analysis and visualization of macroevolutionary dynamics on phylogenetic trees. BAMM tools is a companion package to BAMM , an open‐source program for reversible‐jump MCMC analyses of diversification and trait evolution. Functions in BAMM tools operate directly on output from the BAMM program. The package is oriented towards reconstructing and visualizing changes in evolutionary rates through time and across clades in a Bayesian statistical framework. BAMM tools enables users to extract credible sets of diversification shifts and to identify diversification histories with the maximum a posteriori probability. Users can compare the fit of alternative diversification models using Bayes factors and by directly comparing model posterior probabilities. By providing a robust framework for quantifying uncertainty in macroevolutionary dynamics, BAMM tools will facilitate inference on the complex mixture of processes that have shaped the distribution of species and phenotypes across the tree of life.

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