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ecoGLMM 0.1.3

• 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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.