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")