summary(glm.obj, dispersion=NULL, correlation=TRUE,
na.action = na.omit)
anova(glm.obj, ..., test = NULL, na.action = na.omit)
anova.glmlist(glm.objects, test = NULL, na.action = na.omit)
coefficients(glm.obj)
deviance(glm.obj)
df.residual(glm.obj)
effects(glm.obj)
family(glm.obj)
fitted.values(glm.obj)
residuals(glm.obj, type="deviance")
print.summary(summary.glm.obj, digits = max(3, .Options$digits - 3),
na.print="", symbolic.cor = p > 4, signif.stars= TRUE, ...)
glm.obj
|
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".
|
methods for class glm or
summary.glm and anova.glm objects.
anova.glmlist is called from anova.glm for comparison of
several glm models.
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, effects,
fitted.values, residuals.## --- Continuing the Example from ``?glm'': summary(glm.D93) anova(glm.D93) anova(glm.D93, test = "Cp")