research data . Dataset . 2020 . Embargo end date: 11 Dec 2017

Data from: Robustness of the approximate likelihood of the protracted speciation model

Simonet, Camille A.; Scherrer, Raphaël; Rego-Costa, Artur; Etienne, Rampal S.; Simonet, C.; Scherrer, R.; Rego-Costa, A.; Etienne, R. S.;
Open Access
  • Published: 14 Jul 2020
  • Publisher: Data Archiving and Networked Services (DANS)
Abstract
The protracted speciation model presents a realistic and parsimonious explanation for the observed slowdown in lineage accumulation through time, by accounting for the fact that speciation takes time. A method to compute the likelihood for this model given a phylogeny is available and allows estimation of its parameters (rate of initiation of speciation, rate of completion of speciation, and extinction rate) and statistical comparison of this model to other proposed models of diversification. However this likelihood computation method makes an approximation of the protracted speciation model to be mathematically tractable: it sometimes counts fewer species than ...
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free text keywords: Life sciences, medicine and health care, Likelihood, Macroevolution, diversification, Birth-death model, Life sciences, medicine and health care, Medicine, phylogeny
Communities
  • Social Science and Humanities
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