pffrSim_legacy

Internal function preserving the original pffr_simulate behavior for backward
compatibility. This is called when the deprecated <code>scenario</code> argument
is used.

internal

Methods for regression for functional
data, including function-on-scalar, scalar-on-function, and
function-on-function regression. Some of the functions are applicable to
image data.

Julia Wrobel

refund

Regression with Functional Data

Jeff Goldsmith

Fabian Scheipl

Lei Huang

Chongzhi Di

Jonathan Gellar

Jaroslaw Harezlak

Bruce Swihart

Luo Xiao

Ciprian Crainiceanu

Yakuan Chen

Sonja Greven

Lan Huo

So Young Park

Ana-Maria Staicu

Erjia Cui

Ruonan Li

Zheyuan Li

pffrSim_legacy function

<dl><dt>scenario</dt>
<dd>Deprecated. Character string or vector specifying
predefined scenarios. Use the <code>formula</code> argument instead.</dd>
<dt>n</dt>
<dd>Number of observations.</dd>
<dt>nxgrid</dt>
<dd>Number of evaluation points for functional covariates.
Ignored if <code>xind</code> is provided.</dd>
<dt>nygrid</dt>
<dd>Number of evaluation points for the functional response.
Ignored if <code>yind</code> is provided.</dd>
<dt>SNR</dt>
<dd>Signal-to-noise ratio: <code>var(eta) / var(epsilon)</code>.</dd>
<dt>propmissing</dt>
<dd>Proportion of missing data in the response (0 to 1).</dd>
<dt>limits</dt>
<dd>A function defining integration limits for <code>ff()</code> terms,
e.g., <code>function(s, t) s &lt; t</code>.</dd></dl>

Arguments

Legacy pffr_simulate implementation — pffrSim_legacy

<dl>

<dt>scenario</dt>
<dd>Deprecated. Character string or vector specifying
predefined scenarios. Use the <code>formula</code> argument instead.</dd>


<dt>n</dt>
<dd>Number of observations.</dd>


<dt>nxgrid</dt>
<dd>Number of evaluation points for functional covariates.
Ignored if <code>xind</code> is provided.</dd>


<dt>nygrid</dt>
<dd>Number of evaluation points for the functional response.
Ignored if <code>yind</code> is provided.</dd>


<dt>SNR</dt>
<dd>Signal-to-noise ratio: <code>var(eta) / var(epsilon)</code>.</dd>


<dt>propmissing</dt>
<dd>Proportion of missing data in the response (0 to 1).</dd>


<dt>limits</dt>
<dd>A function defining integration limits for <code>ff()</code> terms,
e.g., <code>function(s, t) s &lt; t</code>.</dd>

</dl>

Legacy pffr_simulate implementation

pffrSim_legacy: Legacy pffr_simulate implementation

Description

Usage

Arguments