A general framework for climate change vulnerability assessment (CCVA) of any species and any dataset. Variables are tagged as exposure, sensitivity or adaptive capacity; each component is computed from its own predictors by a chosen method; and the three components are combined into vulnerability. Methods range from the conventional weighted index of Ofori et al. (2017) <doi:10.1038/s41598-017-13245-y> to shape-constrained additive models ('scam'), latent-variable structural equation models ('lavaan') in which vulnerability is inferred from observable proxies, and penalised regression ('glmnet') for high-dimensional predictors. Ecological knowledge enters as explicit constraints on predictors, on each component's role and on the links between components. Diagnostics, validation against observed outcomes, bootstrap and weight-based uncertainty, calibrated risk predictions and plots for every step are included.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | ggplot2 (≥ 3.4.0), lavaan (≥ 0.6-12), stats, utils |
| Suggests: | scam, glmnet, knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-10-22 |
| DOI: | 10.32614/CRAN.package.ccva (may not be active yet) |
| Author: | Hassan Doosti [aut, cre, cph] (affiliation: Macquarie University) |
| Maintainer: | Hassan Doosti <hassan.doosti at mq.edu.au> |
| BugReports: | https://github.com/DoostiH/ccva/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/DoostiH/ccva |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | ccva results |
| Reference manual: | ccva.html , ccva.pdf |
| Vignettes: |
Climate change vulnerability assessment with ccva (source, R code) A statistical CCVA workflow, step by step (source, R code) |
| Package source: | ccva_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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