compute_concurrent_effect

Computes the pointwise product of a concurrent functional covariate
with a varying coefficient function.

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_concurrent_effect function

<dl><dt>Xc</dt>
<dd>Numeric matrix (n x n_yind) of concurrent covariate values.</dd>
<dt>beta_t</dt>
<dd>Numeric vector (length n_yind) of concurrent coefficient.</dd></dl>

Arguments

Compute concurrent functional effect: Xc(t) * beta_c(t) — compute_concurrent_effect

<dl>

<dt>Xc</dt>
<dd>Numeric matrix (n x n_yind) of concurrent covariate values.</dd>


<dt>beta_t</dt>
<dd>Numeric vector (length n_yind) of concurrent coefficient.</dd>

</dl>

Compute concurrent functional effect: Xc(t) * beta_c(t)

compute_concurrent_effect: Compute concurrent functional effect: Xc(t) * beta_c(t)

Description

Usage

Value

Arguments