compute_const_effect

Compute effect: f(x1, x2, ...) that is constant over the response index t.
Supports multi-argument functions for terms like `c(te(x1, x2))`.

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_const_effect function

<dl><dt>...</dt>
<dd>Numeric vectors of covariate values (all same length n).</dd>
<dt>f_x</dt>
<dd>Function or numeric. If function, called with all covariates as
separate arguments. If numeric, used directly (length 1 or n).</dd>
<dt>n_yind</dt>
<dd>Integer, number of y evaluation points.</dd></dl>

Arguments

Compute constant-over-t effect — compute_const_effect

<dl>

<dt>...</dt>
<dd>Numeric vectors of covariate values (all same length n).</dd>


<dt>f_x</dt>
<dd>Function or numeric. If function, called with all covariates as
separate arguments. If numeric, used directly (length 1 or n).</dd>


<dt>n_yind</dt>
<dd>Integer, number of y evaluation points.</dd>

</dl>

Compute constant-over-t effect

compute_const_effect: Compute constant-over-t effect

Description

Usage

Value

Arguments