Department of Biology, University of Massachusetts Boston, Boston, MA, USA.
Facultad de Ciencias, Universidad Católica de la Santísima Concepción, Concepción, Chile.
PeerJ. 2024 Jan 5;12:e16505. doi: 10.7717/peerj.16505. eCollection 2024.
Phylogenetic comparative methods comprise the general endeavor of using an estimated phylogenetic tree (or set of trees) to make secondary inferences: about trait evolution, diversification dynamics, biogeography, community ecology, and a wide range of other phenomena or processes. Over the past ten years or so, the R package has grown to become an important research tool for phylogenetic comparative analysis. is a diverse contributed R library now consisting of hundreds of different functions covering a variety of methods and purposes in phylogenetic biology. As of the time of writing, included functionality for fitting models of trait evolution, for reconstructing ancestral states, for studying diversification on trees, and for visualizing phylogenies, comparative data, and fitted models, as well numerous other tasks related to phylogenetic biology. Here, I describe some significant features of and recent updates to , while also illustrating several popular workflows of the computational software.
系统发育比较方法包括利用估计的系统发育树(或一组树)进行二次推断的一般努力:关于特征进化、多样化动态、生物地理学、群落生态学以及广泛的其他现象或过程。在过去十年左右的时间里,R 包已经发展成为系统发育比较分析的重要研究工具。现在是一个多样化的 R 库,由数百个不同的功能组成,涵盖了系统发育生物学中各种方法和目的。在撰写本文时,它包含了用于拟合特征进化模型、重建祖先状态、研究树上多样化以及可视化系统发育、比较数据和拟合模型的功能,以及与系统发育生物学相关的许多其他任务。在这里,我将介绍一些的重要功能和最近的更新,同时还将说明一些流行的计算软件工作流程。