# caretSBF

##### Selection By Filtering (SBF) Helper Functions

Ancillary functions for univariate feature selection

- Keywords
- models

##### Usage

`caretSBF`anovaScores(x, y)

gamScores(x, y)

##### Arguments

- x
a matrix or data frame of numeric predictors

- y
a numeric or factor vector of outcomes

##### Details

More details on these functions can be found at http://topepo.github.io/caret/feature-selection-using-univariate-filters.html.

This page documents the functions that are used in selection by filtering
(SBF). The functions described here are passed to the algorithm via the
`functions`

argument of `sbfControl`

.

See `sbfControl`

for details on how these functions should be
defined.

`anovaScores`

and `gamScores`

are two examples of univariate
filtering functions. `anovaScores`

fits a simple linear model between a
single feature and the outcome, then the p-value for the whole model F-test
is returned. `gamScores`

fits a generalized additive model between a
single predictor and the outcome using a smoothing spline basis function. A
p-value is generated using the whole model test from
`summary.Gam`

and is returned.

If a particular model fails for `lm`

or `gam`

, a p-value of 1 is
returned.

##### Format

An object of class `list`

of length 5.

##### See Also

*Documentation reproduced from package caret, version 6.0-80, License: GPL (>= 2)*