<!doctype s-function-doc system "s-function-doc.dtd" [
<!entity % S-OLD "INCLUDE">
]
>
<s-function-doc>
<s-topics>
<s-topic> summary.asymfm </s-topic>
</s-topics>
<s-title>
Summary Method for Asymmetric Distribution Models
</s-title>
<s-description>
Returns a summary of the asymmetric distribution models stored in a
fit.models object with virtual class asymfm.
</s-description>
<s-usage>
<s-old-style-usage>
summary.asymfm(object, ...)
</s-old-style-usage>
</s-usage>
<s-args-required>
<s-arg name=" object ">
a fit.models object with virtual class asymfm that contains the fitted
models.
</s-arg>
</s-args-required>
<s-value>
a summary.asymfm 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="coefs">
a 3-dimensional array.  For each level of the 3rd index (one for each model
in object), the 2-dimensional slice is a 3 by 2 matrix containing the 3
parameter estimates and their standard errors.
</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-see>
<s-examples>
<s-example>
los.mle <- gammaMLE(los)
los.rob <- gammaRob(los)
los.fm <- fit.models(los.rob, los.mle)
los.sum <- summary(los.fm)
</s-example>
</s-examples>
<s-keywords>
<s-keyword>librobust </s-keyword>
</s-keywords>
<s-docclass>
function
</s-docclass>
</s-function-doc>
