快速 mvSLOUCH：基于多变量 Ornstein-Uhlenbeck 的大型系统进化性状进化模型

IF 6.3 2区环境科学与生态学 Q1 ECOLOGY

Methods in Ecology and Evolution Pub Date : 2024-07-08 DOI:10.1111/2041-210X.14376

Krzysztof Bartoszek, John Tredgett Clarke, Jesualdo Fuentes-González, Venelin Mitov, Jason Pienaar, Marcin Piwczyński, Radosław Puchałka, Krzysztof Spalik, Kjetil Lysne Voje

引用次数: 0

摘要

PCMBase R 软件包是一个功能强大的计算工具，可以高效计算各种系统发育高斯模型的似然值。利用它的优势，我们重新设计了 R 软件包 mvSLOUCH。在这里，我们展示了如何利用新版本的软件包，通过使用多变量奥恩斯坦-乌伦贝克过程，在一个包含 1252 种维管束植物的大型数据集中深入研究性状的进化和适应。我们的分析结果表明，该建模框架有能力区分被子植物功能性状进化的各种替代假说。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Fast mvSLOUCH: Multivariate Ornstein–Uhlenbeck-based models of trait evolution on large phylogenies

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Fast mvSLOUCH: Multivariate Ornstein–Uhlenbeck-based models of trait evolution on large phylogenies

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来源期刊

Methods in Ecology and Evolution ECOLOGY-

CiteScore

11.60

自引率

3.00%

发文量

236

审稿时长

4-8 weeks

期刊介绍： A British Ecological Society journal, Methods in Ecology and Evolution (MEE) promotes the development of new methods in ecology and evolution, and facilitates their dissemination and uptake by the research community. MEE brings together papers from previously disparate sub-disciplines to provide a single forum for tracking methodological developments in all areas. MEE publishes methodological papers in any area of ecology and evolution, including: -Phylogenetic analysis -Statistical methods -Conservation & management -Theoretical methods -Practical methods, including lab and field -This list is not exhaustive, and we welcome enquiries about possible submissions. Methods are defined in the widest terms and may be analytical, practical or conceptual. A primary aim of the journal is to maximise the uptake of techniques by the community. We recognise that a major stumbling block in the uptake and application of new methods is the accessibility of methods. For example, users may need computer code, example applications or demonstrations of methods.