summary.evreg: Summarizing GEV regression model fits

In pengyuwei94/evreg: Extreme value regression modelling

Description

These functions are all methods for class evreg or summary.evreg objects. They provide similar functionality to summary.glm.

Usage

## S3 method for class 'evreg'
summary(object, correlation = FALSE,
  symbolic.cor = FALSE, ...)

## S3 method for class 'summary.evreg'
print(x, digits = max(5L, getOption("digits") -
  3L), symbolic.cor = x$symbolic.cor,
  signif.stars = getOption("show.signif.stars"), ...)

Arguments

object	an object inheriting from class "evreg", a result of a call to gevreg.
correlation	logical; if TRUE, the correlation matrix of the estimated parameters is returned and printed.
symbolic.cor	logical. If TRUE, print the correlations in a symbolic form (see symnum) rather than as numbers.
...	Additional optional arguments. At present no optional arguments are used.
digits	An integer. Used for number formatting with format and signif.
signif.stars	logical. If TRUE, 'significance stars' are printed for each coefficient.

Value

summary.glm returns an object of class "summary.evreg", a list with components

call	the component call from object.
coefficients	the matrix of coefficients, standard errors, z-values and p-values.
deviance	the deviance of the fitted model, calculated as -2 * logLik(object)
df.residual	the residual degrees of freedom, calculated as length(object$data$y) - object$df
aic	the component aic from object.

print.summary.glm prints the call, a table of estimated coefficients, standard errors, the estimate/SE ratio and a two-tailed approximate p-value based on a standad normal reference distribution. Significance stars are added if signif.stars = TRUE. Also printed are the residual deviance and residual degrees of freedom and the value of AIC. The argument x is returned invisibly.

See Also

gevreg GEV generalized linear regression modelling.

pengyuwei94/evreg documentation built on Aug. 29, 2019, 1:06 p.m.