transform_smooth_term

Converts univariate/bivariate smooth terms into tensor products that
include the functional 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

transform_smooth_term function

<dl><dt>term</dt>
<dd>The term call object.</dd>
<dt>yind_vec_name</dt>
<dd>Name of y-index vector (character).</dd>
<dt>bs_yindex</dt>
<dd>Default basis spec for y-index (named list).</dd>
<dt>tensortype</dt>
<dd>Type of tensor product (symbol: ti or t2).</dd>
<dt>algorithm</dt>
<dd>Fitting algorithm name (character or symbol).</dd></dl>

Arguments

Transform smooth terms (s, te, ti, t2) to include y-index — transform_smooth_term

<dl>

<dt>term</dt>
<dd>The term call object.</dd>


<dt>yind_vec_name</dt>
<dd>Name of y-index vector (character).</dd>


<dt>bs_yindex</dt>
<dd>Default basis spec for y-index (named list).</dd>


<dt>tensortype</dt>
<dd>Type of tensor product (symbol: ti or t2).</dd>


<dt>algorithm</dt>
<dd>Fitting algorithm name (character or symbol).</dd>

</dl>

Transform smooth terms (s, te, ti, t2) to include y-index

transform_smooth_term: Transform smooth terms (s, te, ti, t2) to include y-index

Description

Usage

Value

Arguments