Data from: Compadre - estimating the drivers and dynamics of macroevolutionary change

Compiling fossil finds into compendia and databases amenable for
macroevolutionary analyses have been of great help in our endeavour to
understand the diversity dynamics of the past. Details and sizes of fossil
compilations have increased over time and similarly have approaches to
correct for the incompleteness and bias of the fossil record. There is,
however, a lack of coherent and easily implementable framework that
combines bias-correction of the data, estimation of the rate of
macroevolutionary change, quantification of the effect of putative abiotic
and biotic drivers and a robust approach to model selection and hypothesis
testing. Herein I present such a framework in the form of Compadre, a
Bayesian toolbox in R with a user-friendly implementation of Pradel's
capture-mark-recapture model with macroevolutionary extensions as an
addition to the roster of methodologies in paleobiology.