summary.FDboost

print.FDboost

Takes a fitted <code>FDboost</code>-object and produces a print 
to the console or a summary.

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)

summary.FDboost function

<dl><dt>object</dt>
<dd>a fitted <code>FDboost</code>-object</dd>
<dt>...</dt>
<dd>currently not used</dd>
<dt>x</dt>
<dd>a fitted <code>FDboost</code>-object</dd></dl>

Arguments

Print and summary of a boosted functional regression model — summary.FDboost

<dl>

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


<dt>...</dt>
<dd>currently not used</dd>


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

</dl>

summary.FDboost: Print and summary of a boosted functional regression model

Description

Usage

Value

Arguments

See Also