Package: evbsreg
Type: Package
Title: Local Influence Diagnostics for the Extreme-Value
        Birnbaum-Saunders Regression Model
Version: 1.2.0
Date: 2026-09-17
Authors@R: 
    person("Raydonal", "Ospina",
           email = "raydonal@de.ufpe.br",
           role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-9884-9090"))
Description: 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. Version 1.1.0 adds the density, distribution and
    quantile functions, the finite upper endpoint, return levels and
    expected shortfall, block bootstrap standard errors for serially
    dependent series, local influence diagnostics for the generalized
    extreme-value regression model, and a GAMLSS family allowing the
    tail-shape parameter to depend on covariates. Version 1.2.0 adds a
    prospective control chart for endpoint identifiability. The methods
    are described in Ospina, Lima, Barros, and Macedo (2026, submitted)
    and are applied to monthly maximum wind gust data from Itajai, Brazil.
License: MIT + file LICENSE
URL: https://github.com/Raydonal/evbsreg,
        https://raydonal.github.io/evbsreg/
BugReports: https://github.com/Raydonal/evbsreg/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: stats, graphics, SpatialExtremes, ggplot2
Suggests: gamlss, grDevices, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/roxygen2/version: 8.0.0
NeedsCompilation: no
Packaged: 2026-09-17 22:29:20 UTC; raydonal
Author: Raydonal Ospina [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-9884-9090>)
Maintainer: Raydonal Ospina <raydonal@de.ufpe.br>
Repository: CRAN
Date/Publication: 2026-09-18 06:40:38 UTC
