\Header{glm.summaries}{Accessing Generalized Linear Model Fits}
\alias{summary.glm}{glm.summaries}
\alias{summary.glm.null}{glm.summaries}
\alias{anova.glm}{glm.summaries}
\alias{anova.glmlist}{glm.summaries}
\alias{anova.glm.null}{glm.summaries}
\alias{coefficients.glm}{glm.summaries}
\alias{df.residual.glm}{glm.summaries}
\alias{family.glm}{glm.summaries}
\alias{fitted.values.glm}{glm.summaries}
\alias{residuals.glm}{glm.summaries}
\alias{print.glm}{glm.summaries}
\alias{print.glm.null}{glm.summaries}
\alias{print.anova.glm}{glm.summaries}
\alias{print.summary.glm}{glm.summaries}
\alias{print.summary.glm.null}{glm.summaries}
\keyword{models}{glm.summaries}
\keyword{regression}{glm.summaries}
\begin{Usage}
\begin{verbatim}
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, ...)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\texttt{object, x}] an object of class \texttt{glm}, typically the result of
\texttt{\Link{glm}(..)}.
\item[\texttt{dispersion}] the dispersion parameter for the fitting family.
By default it is obtained from \texttt{glm.obj}.
\item[\texttt{correlation}] logical; if \texttt{TRUE}, the correlation matrix of
the estimated parameters is returned and printed.
\item[\texttt{type}] the type of residuals which should be returned.  The
alternatives are: \texttt{"deviance"}, \texttt{"pearson"},
\texttt{"working"}, \texttt{"response"}.
\end{ldescription}
\end{Arguments}
\begin{Description}
These functions are all \texttt{\Link{methods}} for class \texttt{glm} or
\texttt{summary.glm} and \texttt{anova.glm} objects.

\texttt{anova.glmlist} is called from \texttt{anova.glm} for comparison of
several \texttt{glm} models.\end{Description}
\begin{Value}
The function \texttt{summary.} can be used to obtain or print
a summary of the results and the function \texttt{anova}
and be used to produce and analysis of variance table.\end{Value}
\begin{SeeAlso}
\texttt{\Link{glm}} for computing \texttt{glm.obj};
the corresponding \emph{generic} functions, \texttt{\Link{summary}},
\texttt{\Link{anova}}, \texttt{\Link{coefficients}}, \texttt{\Link{deviance}},
\texttt{\Link{effects}}, \texttt{\Link{fitted.values}}, \texttt{\Link{residuals}}.\end{SeeAlso}
\begin{Examples}
\begin{ExampleCode}
## --- 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")
\end{ExampleCode}
\end{Examples}

