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      Living in a changing world: effects of roads and Pinus monocultures on an anuran metacommunity in southern Brazil

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          Fitting Linear Mixed-Effects Models Usinglme4

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            ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R

            After more than fifteen years of existence, the R package ape has continuously grown its contents, and has been used by a growing community of users. The release of version 5.0 has marked a leap towards a modern software for evolutionary analyses. Efforts have been put to improve efficiency, flexibility, support for 'big data' (R's long vectors), ease of use and quality check before a new release. These changes will hopefully make ape a useful software for the study of biodiversity and evolution in a context of increasing data quantity.
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              Picante: R tools for integrating phylogenies and ecology.

              Picante is a software package that provides a comprehensive set of tools for analyzing the phylogenetic and trait diversity of ecological communities. The package calculates phylogenetic diversity metrics, performs trait comparative analyses, manipulates phenotypic and phylogenetic data, and performs tests for phylogenetic signal in trait distributions, community structure and species interactions. Picante is a package for the R statistical language and environment written in R and C, released under a GPL v2 open-source license, and freely available on the web (http://picante.r-forge.r-project.org) and from CRAN (http://cran.r-project.org).
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                Author and article information

                Contributors
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                Journal
                Aquatic Sciences
                Aquat Sci
                Springer Science and Business Media LLC
                1015-1621
                1420-9055
                April 2023
                February 06 2023
                April 2023
                : 85
                : 2
                Article
                10.1007/s00027-023-00943-1
                2be9dbef-9c1c-4104-aefa-c3fac7cea8c8
                © 2023

                https://www.springernature.com/gp/researchers/text-and-data-mining

                https://www.springernature.com/gp/researchers/text-and-data-mining

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