wtd.sd

Used to weight deviations among ensembled model predictions

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.

Zachary A Mayer

caretEnsemble

Ensembles of Caret Models

wtd.sd function

<dl><dt>x</dt>
<dd>a vector of numerics</dd>
<dt>w</dt>
<dd>a vector of weights equal to length of x</dd>
<dt>na.rm</dt>
<dd>a logical indicating how to handle missing values, default = FALSE</dd></dl>

Arguments

Calculate a weighted standard deviation — wtd.sd

<dl>

<dt>x</dt>
<dd>a vector of numerics</dd>


<dt>w</dt>
<dd>a vector of weights equal to length of x</dd>


<dt>na.rm</dt>
<dd>a logical indicating how to handle missing values, default = FALSE</dd>

</dl>

wtd.sd: Calculate a weighted standard deviation

Description

Usage

Arguments