pffr_get_dimensions

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

pffr_get_dimensions function

<dl><dt>ydata</dt>
<dd>The ydata argument (NULL for dense data).</dd>
<dt>data</dt>
<dd>The data argument.</dd>
<dt>response_name</dt>
<dd>The response variable name (symbol).</dd>
<dt>frml_env</dt>
<dd>The formula environment.</dd>
<dt>eval_env</dt>
<dd>Evaluation environment/list used to resolve variables.</dd></dl>

Arguments

Detect data dimensions for pffr — pffr_get_dimensions

<dl>

<dt>ydata</dt>
<dd>The ydata argument (NULL for dense data).</dd>


<dt>data</dt>
<dd>The data argument.</dd>


<dt>response_name</dt>
<dd>The response variable name (symbol).</dd>


<dt>frml_env</dt>
<dd>The formula environment.</dd>


<dt>eval_env</dt>
<dd>Evaluation environment/list used to resolve variables.</dd>

</dl>

Detect data dimensions for pffr

pffr_get_dimensions: Detect data dimensions for pffr

Description

Usage

Value

Arguments