compute_ff_effect

Compute the integral effect: integral of X(s) * beta(s,t) ds
using Simpson integration weights consistent with `ff()` defaults.

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_ff_effect function

<dl><dt>X</dt>
<dd>Numeric matrix (n x length(xind)) of functional covariate values.</dd>
<dt>beta_st</dt>
<dd>Numeric matrix (length(xind) x length(yind)) coefficient surface.</dd>
<dt>xind</dt>
<dd>Numeric vector of x evaluation points.</dd></dl>

Arguments

Compute function-on-function effect — compute_ff_effect

<dl>

<dt>X</dt>
<dd>Numeric matrix (n x length(xind)) of functional covariate values.</dd>


<dt>beta_st</dt>
<dd>Numeric matrix (length(xind) x length(yind)) coefficient surface.</dd>


<dt>xind</dt>
<dd>Numeric vector of x evaluation points.</dd>

</dl>

Compute function-on-function effect

compute_ff_effect: Compute function-on-function effect

Description

Usage

Value

Arguments