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.