This tutorial shows users how to check the convergence of LiteRate's Markov chain Monte Carlo algorithms, as well as how to plot LiteRate results. Empirically, we show how shifts in diversification rates delineate a multi-stage trajectory for the evolution of Metal music over time.
How to start this tutorial
Kahn-Harris, Keith. Extreme Metal: Music and Culture on the Edge. Berg Publishers, Oxford 2006.
Kass, Robert E., and Adrian E. Raftery. 'Bayes Factors’. Journal of the American Statistical Association 90, no. 430 (1995): 773–795.
Silvestro, Daniele, Nicolas Salamin, Alexandre Antonelli, and Xavier Meyer. ‘Improved Estimation of Macroevolutionary Rates from Fossil Data Using a Bayesian Framework’. Paleobiology 45, no. 4 (2019): 546–70. [Link]
This project was supported by Grant #61105 from the John Templeton Foundation to the University of Tennessee, Knoxville (PIs: S. Gavrilets and P. J. Richerson) with assistance from the Center for the Dynamics of Social Complexity and the National Institute for Mathematical and Biological Synthesis at the University of Tennessee, Knoxville.
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