Functions for creating ensembles of caret models: caretList()
and caretStack().  caretList() is a convenience function for fitting multiple
caret::train() models to the same dataset. caretStack() will make linear or
non-linear combinations of these models, using a caret::train() model as a
meta-model, and caretEnsemble() will make a robust linear combination of
models using a GLM.

Ensembles of Caret Models

package-ubuntu-20.04-r-4.0.5#cran#caretEnsemble-2.0.1

<p>Used to weight deviations among ensembled model preditions
</p>

<table summary="R argblock">
<tr valign="top">
<td><code>x</code></td>
<td>
<p>a vector of numerics</p>
</td>
</tr>
<tr valign="top">
<td><code>w</code></td>
<td>
<p>a vector of weights equal to length of x</p>
</td>
</tr>
<tr valign="top">
<td><code>na.rm</code></td>
<td>
<p>a logical indicating how to handle missing values, default = FALSE</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#caretEnsemble-2.0.1#docs#wtd.sd

wtd.sd

Description

Usage

Arguments

caretEnsemble

We don't support your browser anymore

`x`	a vector of numerics
`w`	a vector of weights equal to length of x
`na.rm`	a logical indicating how to handle missing values, default = FALSE