<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Reproducible Ecological Generalized Linear Mixed Model Pipelines</dc:title>
  <dc:title>R package ecoGLMM version 0.1.3</dc:title>
  <dc:description>Fits and compares generalized linear mixed models for multiple
    ecological responses and environmental predictors. The package supports
    additive and temporal-interaction candidate models, AICc model selection,
    likelihood-ratio tests, coefficient extraction, Nakagawa R-squared,
    simulation-based diagnostics, figures, and spreadsheet exports.
    Model selection follows Burnham and Anderson (2002, ISBN:9780387953649);
    marginal and conditional R-squared follow Nakagawa and Schielzeth (2013)
    &lt;doi:10.1111/j.2041-210x.2012.00261.x&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.1.0)</dc:relation>
  <dc:relation>Imports: DHARMa, ggeffects, ggplot2, glmmTMB, MuMIn, performance,
stats, writexl</dc:relation>
  <dc:relation>Suggests: knitr, readxl, remotes, rmarkdown, testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>André Felipe Carneiro dos Santos &lt;andre.fcsantos@ufpe.br&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>André Felipe Carneiro dos Santos [aut, cre] (ORCID:
    &lt;https://orcid.org/0009-0000-8596-1975&gt;),
  Bruna Martins Bezerra [aut] (ORCID:
    &lt;https://orcid.org/0000-0003-3039-121X&gt;),
  Bárbara Lins Caldas de Moraes [aut] (ORCID:
    &lt;https://orcid.org/0000-0002-1804-9828&gt;)</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=ecoGLMM/LICENSE)</dc:rights>
  <dc:date>2026-09-30</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=ecoGLMM</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.ecoGLMM</dc:identifier>
</oai_dc:dc>
