summary.ibr

<code>summary</code> method for class &#8220;<code>ibr</code>&#8221;.

multivariate

smooth

Multivariate smoothing using iterative bias reduction with kernel, thin plate splines, Duchon splines or low rank splines.

Pierre-Andre Cornillon

Iterative Bias Reduction

summary.ibr function

<dl> <dt>object</dt>
<dd>Object of class <code>ibr</code>.</dd> <dt>criteria</dt>
<dd>Character string which gives the criteria evaluated for the model. The criteria available are GCV (default, <code>"gcv"</code>),
 AIC (<code>"aic"</code>), corrected AIC (<code>"aicc"</code>), BIC
 (<code>"bic"</code>) or gMDL (<code>"gmdl"</code>). The string <code>"call"</code>
 return the criterion used in the call of <code>ibr</code>.</dd> <dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd></dl>

Arguments

Pierre-Andre Cornillon, Nicolas Hengartner and Eric Matzner-Lober.

Author

Summarizing iterative bias reduction fits — summary.ibr

<dl>

 <dt>object</dt>
<dd>Object of class <code>ibr</code>.</dd>

 <dt>criteria</dt>
<dd>Character string which gives the criteria evaluated for the model. The criteria available are GCV (default, <code>"gcv"</code>),
 AIC (<code>"aic"</code>), corrected AIC (<code>"aicc"</code>), BIC
 (<code>"bic"</code>) or gMDL (<code>"gmdl"</code>). The string <code>"call"</code>
 return the criterion used in the call of <code>ibr</code>.</dd>

 <dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd>

</dl>

summary.ibr: Summarizing iterative bias reduction fits

Description

Usage

Value

Arguments

Author

References

See Also

Examples