NEWS

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ecoGLMM 0.1.3 (2026-09-30)

• Standardized the complete real-data workflow and documentation in English.
• Added complete author metadata and ORCID identifiers for André Felipe Carneiro dos Santos, Bárbara Lins Caldas de Moraes, and Bruna Martins Bezerra.
• Restored MuMIn::r.squaredGLMM() as the primary R-squared method to match the original dissertation pipeline.
• Added parallel Nakagawa R-squared results from performance::r2_nakagawa() in explicitly labelled columns.

ecoGLMM 0.1.2

• Corrected likelihood-ratio-test degrees of freedom to report the difference in model parameters rather than the total parameter count.
• Removed unused colour and fill labels from additive effect plots.

ecoGLMM 0.1.1

• Corrected the Authors@R role field in DESCRIPTION.

ecoGLMM 0.1.0

• Initial research release.
• Fits additive and predictor-by-period GLMM candidate sets.
• Supports beta, Gamma, Gaussian, Poisson, and negative-binomial families.
• Calculates AICc, Akaike weights, evidence ratios, and competitive-model flags.
• Compares nested additive and interaction models with likelihood-ratio tests.
• Extracts coefficients, Wald confidence intervals, and Nakagawa R-squared.
• Runs DHARMa uniformity, dispersion, and outlier diagnostics.
• Produces marginal-effect, model-selection, and coefficient figures.
• Exports analysis tables and figures.