Sets up a random effect for the levels of <code>x</code>. 
Use the <code>by</code>-argument to request random slopes.

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

re function

<dl><dt>x</dt>
<dd>a grouping variable: must be a <code>factor</code></dd>
<dt>...</dt>
<dd>further arguments handed over to <code><a href="/link/s?package=refund&version=0.1-37" data-mini-rdoc="refund::s">s</a></code>, 
see <code><a href="/link/random.effects?package=refund&version=0.1-37" data-mini-rdoc="refund::random.effects">random.effects</a></code></dd></dl>

Arguments

Random effects constructor for fgam — re

<dl>

<dt>x</dt>
<dd>a grouping variable: must be a <code>factor</code></dd>


<dt>...</dt>
<dd>further arguments handed over to <code><a href='https://rdrr.io/pkg/mgcv/man/s.html'>s</a></code>, 
see <code><a href='https://rdrr.io/pkg/mgcv/man/random.effects.html'>random.effects</a></code></dd>

</dl>

Random effects constructor for fgam

re: Random effects constructor for fgam

Description

Usage

Arguments

Details

See Also