make_random_2d_fn

Returns a function that can be evaluated at arbitrary (s, t) points.
The surface is scaled to unit SD on the reference grids.

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

make_random_2d_fn function

<dl><dt>s_ref</dt>
<dd>Reference grid for first dimension (for scaling).</dd>
<dt>t_ref</dt>
<dd>Reference grid for second dimension (for scaling).</dd>
<dt>k_s</dt>
<dd>Basis dimension for s.</dd>
<dt>k_t</dt>
<dd>Basis dimension for t.</dd>
<dt>wiggliness</dt>
<dd>Controls smoothness.</dd></dl>

Arguments

Create 2D random surface function from P-spline prior — make_random_2d_fn

<dl>

<dt>s_ref</dt>
<dd>Reference grid for first dimension (for scaling).</dd>


<dt>t_ref</dt>
<dd>Reference grid for second dimension (for scaling).</dd>


<dt>k_s</dt>
<dd>Basis dimension for s.</dd>


<dt>k_t</dt>
<dd>Basis dimension for t.</dd>


<dt>wiggliness</dt>
<dd>Controls smoothness.</dd>

</dl>

Create 2D random surface function from P-spline prior

make_random_2d_fn: Create 2D random surface function from P-spline prior

Description

Usage

Value

Arguments