RT Journal Article SR Electronic T1 TESS: Bayesian inference of lineage diversification rates from (incompletely sampled) molecular phylogenies in R JF bioRxiv FD Cold Spring Harbor Laboratory SP 021238 DO 10.1101/021238 A1 Sebastian Höhna A1 Michael R. May A1 Brian R. Moore YR 2015 UL http://biorxiv.org/content/early/2015/06/19/021238.abstract AB Summary Many fundamental questions in evolutionary biology entail estimating rates of lineage diversification (speciation – extinction). We develop a flexible Bayesian framework for specifying an effectively infinite array of diversification models—where rates are constant, vary continuously, or change episodically through time—and implement numerical methods to estimate parameters of these models from molecular phylogenies, even when species sampling is incomplete. Additionally we provide robust methods for comparing the relative and absolute fit of competing branching-process models to a given tree, thereby providing rigorous tests of biological hypotheses regarding patterns and processes of lineage diversification.Availability and implementation the source code for TESS is freely available at http://cran.r-project.org/web/packages/TESS/.Contact Sebastian.Hoehna{at}gmail.com