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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | evbsreg_1.0.0.tar.gz |
279.2 KiB |
1.0.0 |
rolling linux/noble R-4.5 | evbsreg_1.0.0.tar.gz |
279.2 KiB |
1.0.0 |
rolling source/ R- | evbsreg_1.0.0.tar.gz |
198.6 KiB |
1.0.0 |
latest linux/jammy R-4.5 | evbsreg_1.0.0.tar.gz |
279.2 KiB |
1.0.0 |
latest linux/noble R-4.5 | evbsreg_1.0.0.tar.gz |
279.2 KiB |
1.0.0 |
latest source/ R- | evbsreg_1.0.0.tar.gz |
198.6 KiB |
1.0.0 |
2026-04-23 source/ R- | evbsreg_1.0.0.tar.gz |
0 B |