summary(object, dispersion = NULL, correlation = FALSE,
na.action = na.omit)
anova(object, ..., test = NULL, na.action = na.omit)
anova.glmlist(object, test = NULL, na.action = na.omit)
coefficients(x) ; coef(x)
df.residual(x)
family(x)
fitted.values(x) ; fitted(x)
residuals(x, type="deviance")
print.summary(summary.glm.obj, digits = max(3, .Options$digits - 3),
na.print="", symbolic.cor = p > 4,
signif.stars= .Options$show.signif.stars, ...)
object, x |
an object of class glm, typically the result of
glm(..). |
dispersion |
the dispersion parameter for the fitting family.
By default it is obtained from glm.obj. |
correlation |
logical; if TRUE, the correlation matrix of
the estimated parameters is returned and printed. |
type |
the type of residuals which should be returned. The
alternatives are: "deviance", "pearson",
"working", "response". |
These functions are all methods for class glm or
summary.glm and anova.glm objects.
anova.glmlist is called from anova.glm for comparison of
several glm models.
The function summary. can be used to obtain or print
a summary of the results and the function anova
and be used to produce and analysis of variance table.
glm for computing glm.obj;
the corresponding generic functions, summary,
anova, coefficients, deviance,
effects, fitted.values, residuals.
## --- Continuing the Example from ``?glm'': ## --- Continuing the Example from ``?glm'': summary(glm.D93) anova(glm.D93) anova(glm.D93, test = "Cp") summary(glm.D93) anova(glm.D93) anova(glm.D93, test = "Cp")