evbsreg
1.0.0Local Influence Diagnostics for the Extreme-Value Birnbaum-Saunders Regression Model
Overview
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.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-07-016 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 72%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 58%
Downloads
Repository
Repository practices
3 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/raydonal/evbsreg on 2026-08-23.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
1 release. R releases are shown for context.
- 1.0.0Latest2026-07-01 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-07-01
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.0.0
- Bundled data
- 0.9 KB / 1 file
- Download size
- 199 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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Run in R for the authors' preferred citation:
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