evbsreg: Local Influence Diagnostics for the Extreme-Value Birnbaum-Saunders Regression Model
Implements local influence diagnostics for the Extreme-Value Birnbaum-Saunders (EVBS) regression model: joint maximum likelihood estimation, conformal normal curvature diagnostics under three perturbation schemes (case-weight, response variable, and explanatory variable), randomized quantile residuals with simulation envelope, Monte Carlo simulation utilities, and publication-quality density and diagnostic plots. The methods are described in Ospina, Lima, Barros, and Macedo (2026, submitted) and are applied to monthly maximum wind gust data from Itajai, Brazil.
| Version: | 1.0.0 |
| Depends: | R (≥ 4.0.0) |
| Imports: | stats, graphics, SpatialExtremes, ggplot2 |
| Suggests: | grDevices, knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-06-30 |
| DOI: | 10.32614/CRAN.package.evbsreg |
| Author: | Raydonal Ospina 
[aut, cre] |
| Maintainer: | Raydonal Ospina <raydonal at de.ufpe.br> |
| BugReports: | https://github.com/Raydonal/evbsreg/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/Raydonal/evbsreg, https://raydonal.github.io/evbsreg/ |
| NeedsCompilation: | no |
| Citation: | evbsreg citation info |
| Materials: | README, NEWS |
| CRAN checks: | evbsreg results |
Documentation:
| Reference manual: | evbsreg.html , evbsreg.pdf |
| Vignettes: |
Local influence diagnostics for the EVBS regression model (source, R code) |
Downloads:
| Package source: | evbsreg_1.0.0.tar.gz |
| Windows binaries: | r-devel: evbsreg_1.0.0.zip, r-release: evbsreg_1.0.0.zip, r-oldrel: evbsreg_1.0.0.zip |
| macOS binaries: | r-release (arm64): evbsreg_1.0.0.tgz, r-oldrel (arm64): evbsreg_1.0.0.tgz, r-release (x86_64): evbsreg_1.0.0.tgz, r-oldrel (x86_64): evbsreg_1.0.0.tgz |
Linking:
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