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BBMV: an R package for the estimation of macroevolutionary landscapes
Authors:Florian C Boucher
Abstract:The distribution of traits along phylogenies bears signatures of how ecological and evolutionary processes have interacted to influence phenotypic evolution, which can be deciphered using macroevolutionary models. BBMV implements a model for the evolution of continuous characters on phylogenies that generalizes existing ones, like Brownian motion and the Ornstein‐Uhlenbeck model. In this model quantitative characters evolve under both random diffusion and a deterministic force that can be of any possible shape and strength. The model can be used to infer evolutionary scenarios that remained inaccessible so far, like directional trends, disruptive selection, and even bounded evolution. With this new tool at hand, researchers will be able to test complex hypothesis‐driven scenarios regarding trait evolution, but they will also have the possibility to estimate the shape of the adaptive landscapes in which traits evolved. Ultimately, this will provide a way to infer how ecological processes have influenced phenotypic evolution over long timescales. The BBMV package is implemented in the R statistical language and is freely available on the CRAN repository < https://CRAN.R‐project.org/package=BBMV >. All source code can also be found on < https://github.com/fcboucher/BBMV >, along with a detailed tutorial.
Keywords:adaptive landscape  macroevolution  comparative methods
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