2018
DOI: 10.1111/ecog.04045
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BBMV: an R package for the estimation of macroevolutionary landscapes

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… Show more

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Cited by 8 publications
(17 citation statements)
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References 24 publications
(38 reference statements)
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“…2018), which relies on inferring an evolutionary potential that biases the underlying random walk of all lineages toward different regions of morphospace. This model, as well as the previously described BBM, can be thought of as special cases of a general model (BBMV; Boucher 2019) that combines the attractive force of the evolutionary potential with maximum and minimum trait boundaries.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…2018), which relies on inferring an evolutionary potential that biases the underlying random walk of all lineages toward different regions of morphospace. This model, as well as the previously described BBM, can be thought of as special cases of a general model (BBMV; Boucher 2019) that combines the attractive force of the evolutionary potential with maximum and minimum trait boundaries.…”
Section: Methodsmentioning
confidence: 99%
“…More recently, alternative ways to conceptualize adaptive landscapes have been introduced (Boucher et al. 2018; Boucher 2019). These approaches assume lineages are simultaneously influenced by all adaptive optima, thus deviating from the traditional interpretation that macroevolutionary adaptive landscapes are dynamic and punctuated by innovation (Simpson 1944; Uyeda et al.…”
mentioning
confidence: 99%
“…This is achieved by inferring an evolutionary potential, which biases the underlying random walk of all lineages towards different regions of morphospace. This model, as well as the previously described BBM can be thought of as special cases of a general model (BBMV; Boucher 2019) that combines the attractive force of the evolutionary potential with maximum and minimum trait boundaries.…”
Section: Methodsmentioning
confidence: 99%
“…Model fitting relied on packages geiger (Harmon et al 2008), BBMV (Boucher 2019), pulsR (Landis and Schraiber 2017), SURFACE (Ingram and Mahler 2013) and OUwie (Beaulieu and O’Meara 2019). We compared the fit of all of the models described above through the use of AICc weights.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation