Changelog

Source: NEWS.md

invasimapr 0.2.0

Alignment with the B-Cubed software development guide and improved FAIR metadata.

Metadata and documentation

• Added a persistent Zenodo archive (concept DOI 10.5281/zenodo.20842472) and a DOI badge to the README.
• Added machine-readable metadata: CITATION.cff (CFF 1.2.0 with ORCID, DOI and qualified references), codemeta.json (CodeMeta/JSON-LD) and .zenodo.json (b3 community + Horizon Europe grant 101059592).
• Added a Darwin Core-aligned data dictionary (inst/extdata/data_dictionary.csv).
• DESCRIPTION now uses Title Case, includes the maintainer ORCID and a copyright holder (Stellenbosch University), and declares scales/stringr as imports.
• Rewrote the README as a concise, illustrated page with a minimal reproducible example using the bundled demo data.
• Restructured the documentation: one Getting-started vignette plus five tutorial articles under vignettes/articles/; renamed the bundled inputs_vignettes.rds to invasimapr_vignettes.rds.
• Added CONTRIBUTING.md and LICENSE.md; replaced the deprecated citEntry() in inst/CITATION with bibentry().

Functions

• compute_invasion_fitness() gained an opt-in standardise_inputs argument to re-standardise raw predictors onto a common z-scale before computing fitness (off by default).

invasimapr 0.1.0

First development release of invasimapr.

Workflow

• Eight high-level wrapper functions covering the full pipeline: prepare_inputs(), prepare_trait_space(), model_residents(), learn_sensitivities(), predict_invaders(), predict_establishment() and summarise_results().
• 18 core functions, including assemble_matrices(), simulate_invaders(), standardise_model_inputs(), compute_trait_space(), compute_centrality_hull(), compute_resident_crowding(), compute_site_saturation(), derive_sensitivities(), site_varying_alpha_beta_gamma(), build_invader_predictors(), compute_invasion_fitness(), compute_establishment_probability() and summarise_invasiveness_invasibility().

Features

• Decomposes invasion fitness into abiotic suitability, niche crowding and resident competition, following Hui et al. (2016).
• Multiple invasion-fitness model options (A-E) in compute_invasion_fitness().
• Establishment-probability mapping (probit, logistic and hard-threshold) via compute_establishment_probability().
• Species invasiveness, site invasibility and trait-effect summaries via summarise_invasiveness_invasibility().
• Trait data retrieval from external databases via get_trait_data().