center_smooth_effect

Centers effect matrix so that colMeans(effect) = 0, i.e., for each t,
the effect averages to 0 across observations: sum_i f(z_i, t) = 0 for all t.
This matches pffr's identifiability constraint for smooth varying coefficient terms.

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

center_smooth_effect function

<dl><dt>effect</dt>
<dd>Numeric matrix (n x n_yind) of effect values.</dd></dl>

Arguments

Center effect matrix column-wise for smooth term identifiability — center_smooth_effect

<dl>

<dt>effect</dt>
<dd>Numeric matrix (n x n_yind) of effect values.</dd>

</dl>

Center effect matrix column-wise for smooth term identifiability

center_smooth_effect: Center effect matrix column-wise for smooth term identifiability

Description

Usage

Value

Arguments