[.hmatrix

Operator acting on hmatrix preserving the attributes when rows are extracted.

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)

[.hmatrix function

<dl><dt>x</dt>
<dd>object from which to extract element(s) or in which to replace element(s).</dd>
<dt>i, j</dt>
<dd>indices specifying elements to extract or replace. Indices are numeric 
vectors or empty (missing) or NULL. Numeric values are coerced to integer as by as.integer 
(and hence truncated towards zero).</dd>
<dt>...</dt>
<dd>not used</dd>
<dt>drop</dt>
<dd>If <code>TRUE</code> the result is coerced to the lowest possible dimension 
(or just a matrix). This only works for extracting elements, not for the 
replacement, defaults to <code>FALSE</code>.</dd></dl>

Arguments

Extract or replace parts of a hmatrix-object — [.hmatrix

<dl>

<dt>x</dt>
<dd>object from which to extract element(s) or in which to replace element(s).</dd>


<dt>i, j</dt>
<dd>indices specifying elements to extract or replace. Indices are numeric 
vectors or empty (missing) or NULL. Numeric values are coerced to integer as by as.integer 
(and hence truncated towards zero).</dd>


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


<dt>drop</dt>
<dd>If <code>TRUE</code> the result is coerced to the lowest possible dimension 
(or just a matrix). This only works for extracting elements, not for the 
replacement, defaults to <code>FALSE</code>.</dd>

</dl>

[.hmatrix: Extract or replace parts of a hmatrix-object

Description

Usage

Value

Arguments

Details

See Also