fitted.FDboost

Takes a fitted <code>FDboost</code>-object and computes the fitted values.

Regression models for functional data, i.e., scalar-on-function,
function-on-scalar and function-on-function regression models, are fitted
by a component-wise gradient boosting algorithm.
For a manual on how to use 'FDboost', see Brockhaus, Ruegamer, Greven (2017) <doi:10.18637/jss.v094.i10>.

David Ruegamer

FDboost

Boosting Functional Regression Models

Sarah Brockhaus

Almond Stoecker

Torsten Hothorn

with contributions by many others (see inst/CONTRIBUTIONS)

fitted.FDboost function

<dl><dt>object</dt>
<dd>a fitted <code>FDboost</code>-object</dd>
<dt>toFDboost</dt>
<dd>logical, defaults to <code>TRUE</code>. In case of regular response in wide format 
(i.e., response is supplied as matrix): should the predictions be returned as matrix, or list 
of matrices instead of vectors</dd>
<dt>...</dt>
<dd>additional arguments passed on to <code>predict.FDboost</code></dd></dl>

Arguments

Fitted values of a boosted functional regression model — fitted.FDboost

<dl>

<dt>object</dt>
<dd>a fitted <code>FDboost</code>-object</dd>


<dt>toFDboost</dt>
<dd>logical, defaults to <code>TRUE</code>. In case of regular response in wide format 
(i.e., response is supplied as matrix): should the predictions be returned as matrix, or list 
of matrices instead of vectors</dd>


<dt>...</dt>
<dd>additional arguments passed on to <code>predict.FDboost</code></dd>

</dl>

fitted.FDboost: Fitted values of a boosted functional regression model

Description

Usage

Value

Arguments

See Also