Package index • evbsreg

All functions

cnc_diagnostics(): Conformal Normal Curvature Local Influence Diagnostics
cnc_diagnostics_gev(): Conformal normal curvature diagnostics for the GEV regression model
devbs(): Density of the Extreme-Value Birnbaum-Saunders distribution
envelope_qq(): Normal Probability Plot with Simulation Envelope
evbs_block_boot(): Block bootstrap standard errors for the EVBS regression model
evbs_endpoint(): Finite upper endpoint of the EVBS distribution
evbs_monitor(): Prospective endpoint-identifiability index
evbs_return_level(): Return level and expected shortfall for the EVBS regression model
evbsreg.fit(): Fit the Extreme-Value Birnbaum-Saunders Regression Model
evbsreg.fit.mc(): Monte Carlo Simulation Study for the EVBS Regression Model
generate_evbs_data(): Generate EVBS Density Values
generate_logevbs_data(): Generate log-EVBS Density Values
gev_scores(): Individual score contributions for the GEV regression model
gevreg.fit(): Maximum likelihood fit of the GEV regression model
itajai: Monthly Maximum Wind Gusts at Itajai, Brazil
dlogEVBS() plogEVBS() qlogEVBS(): Density of the log-EVBS distribution (GAMLSS parametrization)
logEVBS(): The log-EVBS distribution for GAMLSS models
pevbs(): Distribution function of the Extreme-Value Birnbaum-Saunders distribution
plot(<evbs_monitor>): Plot an endpoint-identifiability control chart
plot_aggregate_contributions(): Plot Aggregate Contributions B_j(q)
plot_cnc(): Combined Conformal Normal Curvature Diagnostic Plot
plot_evbs_alpha(): Plot EVBS Densities for Varying alpha
plot_evbs_gama(): Plot EVBS Densities for Varying gamma
plot_logevbs_alpha(): Plot log-EVBS Densities for Varying alpha
plot_logevbs_gama(): Plot log-EVBS Densities for Varying gamma
plot_normalized_eigenvalues(): Plot Normalized Eigenvalues of the Influence Matrix
print(<evbsreg>): Print Method for EVBS Regression Fits
qevbs(): Quantile function of the Extreme-Value Birnbaum-Saunders distribution
rcoxsnell(): Cox-Snell Residuals for the Log-EVBS Regression Model
revbs(): Random Number Generation from the EVBS Distribution
rqrandomized(): Randomized Quantile Residuals for the Log-EVBS Regression Model