<!doctype s-function-doc system "s-function-doc.dtd" [
<!entity % S-OLD "INCLUDE">
]
>
<s-function-doc>
<s-topics>
<s-topic> summary.glmfm </s-topic>
</s-topics>
<s-title>
Summary Method for Generalized Linear Models
</s-title>
<s-description>
Returns a summary of the generalized linear models stored in a fit.models
object with virtual class glmfm.
</s-description>
<s-usage>
<s-old-style-usage>
summary.glmfm(object, correlation=T, ...)
</s-old-style-usage>
</s-usage>
<s-args-required>
<s-arg name=" object ">
a fit.models object with virtual class glmfm that contains the fitted
models.
</s-arg>
</s-args-required>
<s-args-optional>
<s-arg name=" correlation ">
if TRUE, the correlation matrix for the coefficients is included in the
summary.
</s-arg>
</s-args-optional>
<s-value>
a summary.lmfm object with the following components:
<s-return-component name="mod.names">
the names of the models in object.
</s-return-component>
<s-return-component name="calls">
a list containing the call of each model in object.
</s-return-component>
<s-return-component name="restats">
a 2-dimensional array with one row (containing the minimum, the maximum,
and the quartiles of the residuals) for each model in object.
</s-return-component>
<s-return-component name="coefs">
a 3-dimensional array.  The third index corresponds to the models in
object.  Each 2-dimensional slice is a matrix with one row for each term in
the model and columns for the coefficient estimate, its standard error, the
t statistic, and the p-value.
</s-return-component>
<s-return-component name="df">
a vector containing the residual degrees of freedom for each model in
object.
</s-return-component>
        
<s-return-component name="devs">
a vector containing the residual deviance for each model in object.
</s-return-component>
<s-return-component name="correlations">
a 3-dimensional array.  For each level of the 3rd index (one for each model
in object), the 2-dimensional slice is the estimated correlation matrix of
the coefficients.  This will not be present if correlation is FALSE.
</s-return-component>
</s-value>
<s-see>
<s-function name="fit.models1.sgm">fit.models</s-function>,
<s-function name="summary1.sgm">summary</s-function>,
<s-function name="summary.glmRob.sgm">summary.glmRob</s-function>,
<s-function name="summ.glm.sgm">summary.glm</s-function>,
</s-see>
<s-examples>
<s-example>
breslow.mle <- glm(sumY ~ Age10 + Base4 * Trt, family=poisson,
     data=breslow.dat)
breslow.rob <- glmRob(sumY ~ Age10 + Base4 * Trt, family=poisson,
     data=breslow.dat)
breslow.fm <- fit.models(breslow.rob, breslow.mle)
summary(breslow.fm)
</s-example>
</s-examples>
<s-keywords>
<s-keyword>librobust</s-keyword>
</s-keywords>
<s-docclass>
function
</s-docclass>
</s-function-doc>
