compute_smooth_effect

Compute effect: f(x, t) for smooth term varying over response index.

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

compute_smooth_effect function

<dl><dt>x</dt>
<dd>Numeric vector (length n) of covariate values.</dd>
<dt>f_xt</dt>
<dd>Function or matrix. If function, takes (x, t) and returns matrix.
If matrix, should be (n x length(yind)).</dd>
<dt>yind</dt>
<dd>Numeric vector of y evaluation points.</dd></dl>

Arguments

Compute smooth varying coefficient effect — compute_smooth_effect

<dl>

<dt>x</dt>
<dd>Numeric vector (length n) of covariate values.</dd>


<dt>f_xt</dt>
<dd>Function or matrix. If function, takes (x, t) and returns matrix.
If matrix, should be (n x length(yind)).</dd>


<dt>yind</dt>
<dd>Numeric vector of y evaluation points.</dd>

</dl>

Compute smooth varying coefficient effect

compute_smooth_effect: Compute smooth varying coefficient effect

Description

Usage

Value

Arguments