<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>andre-fcsantos.r-universe.dev</title><link>https://andre-fcsantos.r-universe.dev</link><description>Recent package updates in andre-fcsantos</description><generator>R-universe</generator><image><url>https://github.com/andre-fcsantos.png</url><title>R packages by andre-fcsantos</title><link>https://andre-fcsantos.r-universe.dev</link></image><lastBuildDate>Sun, 04 Oct 2026 12:03:53 GMT</lastBuildDate><item><title>[andre-fcsantos] ecoGLMM 0.1.4</title><author>andre.fcsantos@ufpe.br (André Felipe Carneiro dos Santos)</author><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;.</description><link>https://github.com/r-universe/andre-fcsantos/actions/runs/37205622048</link><pubDate>Sun, 04 Oct 2026 12:03:53 GMT</pubDate><r:package>ecoGLMM</r:package><r:version>0.1.4</r:version><r:status>success</r:status><r:repository>https://andre-fcsantos.r-universe.dev</r:repository><r:upstream>https://github.com/andre-fcsantos/ecoglmm</r:upstream><r:article><r:source>getting-started.Rmd</r:source><r:filename>getting-started.html</r:filename><r:title>Getting Started with ecoGLMM</r:title><r:created>2026-09-03 20:36:30</r:created><r:modified>2026-10-02 16:24:37</r:modified></r:article></item></channel></rss>