evbsreg: Local Influence Diagnostics for the Extreme-Value Birnbaum-Saunders Regression Model

Local influence diagnostics for the Extreme-Value Birnbaum-Saunders (EVBS) regression model of Ferreira, Gomes and Leiva (2012): joint maximum likelihood estimation, conformal normal curvature diagnostics under case-weight, response and explanatory-variable perturbation, randomized quantile residuals with simulation envelope, the density, distribution and quantile functions, the finite upper endpoint, return levels and expected shortfall, moving-block bootstrap standard errors, a prospective index of endpoint identifiability, the same diagnostics for generalized extreme-value regression, and a 'gamlss' family allowing the tail-shape parameter to depend on covariates. The methods are described in Lima, Ospina, Barros and Macedo (2025) <doi:10.48550/arXiv.2507.22967> and are applied to monthly maximum wind gusts from Itajai, Brazil.

Version:	1.2.3
Depends:	R (≥ 4.0.0)
Imports:	stats, graphics, ggplot2
Suggests:	gamlss, grDevices, knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2026-10-26
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_1.2.3.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): evbsreg_1.2.3.tgz, r-oldrel (x86_64): not available
Old sources:	evbsreg archive

Linking:

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