model.matrix.mars

Produce a design matrix from a `mars' object.

models

Mixture and flexible discriminant analysis, multivariate
adaptive regression splines (MARS), BRUTO, and vector-response smoothing splines.
Hastie, Tibshirani and Friedman (2009) "Elements of Statistical Learning (second edition, chap 12)" Springer, New York.

Trevor Hastie

Mixture and Flexible Discriminant Analysis

model.matrix.mars function

<dl> <dt>object</dt>
<dd>a mars object.</dd> <dt>x</dt>
<dd>optional argument; if supplied, the mars basis functions are
 evaluated at these new observations.</dd> <dt>which</dt>
<dd>which columns should be used. The default is to use the
 columns described by the component <code>selected.terms</code> on
 <code>object</code>.</dd> <dt>full</dt>
<dd>if <code>TRUE</code> the entire set of columns are selected,
 even redundant ones. This is used for updating a mars fit.</dd> <dt>...</dt>
<dd>further arguments to be passed from or to methods.</dd></dl>

Arguments

Produce a Design Matrix from a `mars' Object — model.matrix.mars

<dl>

 <dt>object</dt>
<dd>a mars object.</dd>

 <dt>x</dt>
<dd>optional argument; if supplied, the mars basis functions are
 evaluated at these new observations.</dd>

 <dt>which</dt>
<dd>which columns should be used. The default is to use the
 columns described by the component <code>selected.terms</code> on
 <code>object</code>.</dd>

 <dt>full</dt>
<dd>if <code>TRUE</code> the entire set of columns are selected,
 even redundant ones. This is used for updating a mars fit.</dd>

 <dt>...</dt>
<dd>further arguments to be passed from or to methods.</dd>

</dl>

model.matrix.mars: Produce a Design Matrix from a `mars' Object

Description

Usage

Value

Arguments

See Also