Package: evbsreg 1.0.0

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.

Authors:Raydonal Ospina [aut, cre]

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evbsreg_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
evbsreg/json (API)

# Install 'evbsreg' in R:

install.packages('evbsreg', repos = c('https://raydonal.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/raydonal/evbsreg/issues

Pkgdown/docs site:https://raydonal.github.io

Datasets:

itajai - Monthly Maximum Wind Gusts at Itajai, Brazil

On CRAN:

4.00 score 16 exports 23 dependencies

Last updated from:2745378f5a. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	146
source / vignettes	OK	186
linux-release-x86_64	OK	142
macos-release-arm64	OK	136
macos-oldrel-arm64	OK	147
windows-devel	OK	98
windows-release	OK	102
windows-oldrel	OK	109
wasm-release	OK	136

Exports:cnc_diagnostics envelope_qq evbsreg.fit evbsreg.fit.mc generate_evbs_data generate_logevbs_data plot_aggregate_contributions plot_cnc plot_evbs_alpha plot_evbs_gama plot_logevbs_alpha plot_logevbs_gama plot_normalized_eigenvalues rcoxsnell revbs rqrandomized

Dependencies:cli cpp11 dotCall64 farver fields ggplot2 glue gtable isoband labeling lifecycle maps R6 RColorBrewer Rcpp rlang S7 scales spam SpatialExtremes vctrs viridisLite withr

Local influence diagnostics for the EVBS regression model

Rendered fromevbsreg.Rmdusingknitr::rmarkdown

Last update: 2026-06-15
Started: 2026-06-15

Help page	Topics
Conformal Normal Curvature Local Influence Diagnostics	cnc_diagnostics
Normal Probability Plot with Simulation Envelope	envelope_qq
Fit the Extreme-Value Birnbaum-Saunders Regression Model	evbsreg.fit
Monte Carlo Simulation Study for the EVBS Regression Model	evbsreg.fit.mc
Generate EVBS Density Values	generate_evbs_data
Generate log-EVBS Density Values	generate_logevbs_data
Monthly Maximum Wind Gusts at Itajai, Brazil	itajai
Plot Aggregate Contributions B_j(q)	plot_aggregate_contributions
Combined Conformal Normal Curvature Diagnostic Plot	plot_cnc
Plot EVBS Densities for Varying alpha	plot_evbs_alpha
Plot EVBS Densities for Varying gamma	plot_evbs_gama
Plot log-EVBS Densities for Varying alpha	plot_logevbs_alpha
Plot log-EVBS Densities for Varying gamma	plot_logevbs_gama
Plot Normalized Eigenvalues of the Influence Matrix	plot_normalized_eigenvalues
Print Method for EVBS Regression Fits	print.evbsreg
Cox-Snell Residuals for the Log-EVBS Regression Model	rcoxsnell
Random Number Generation from the EVBS Distribution	revbs
Randomized Quantile Residuals for the Log-EVBS Regression Model	rqrandomized

Package: evbsreg 1.0.0

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

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