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hibiiscus 0.1
New features
- Create, update, and filter PREDICTS-like databases; add external site, species, and site-contrast data.
- Define custom land-use legends and correct abundance measurements for sampling effort.
- Calculate within-site diversity, between-site dissimilarity, and land-use, geographic, and environmental site contrasts.
- Fit mixed-effects models with
lme4, brms, or INLA, including weighted analyses across multiple datasets.
- Evaluate models with random or grouped cross-validation, including predictive performance and fold-level coefficients.
- Project models to tabular or raster covariates, estimate prediction uncertainty, and calculate the Area of Applicability.
- Prepare downscaled GLOBIOM NetCDF outputs for projection, and plot database, model, cross-validation, and projection results.
- Save and reload hibiiscus database, land-use legend, model, cross-validation, and projection objects.