gen_random_1d

Samples from the P-spline prior and evaluates on a fixed grid.
Returns a numeric vector scaled to unit SD.

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

gen_random_1d function

<dl><dt>grid</dt>
<dd>Numeric vector of evaluation points.</dd>
<dt>k</dt>
<dd>Number of B-spline basis functions.</dd>
<dt>wiggliness</dt>
<dd>Controls smoothness. Higher = more wiggly.</dd></dl>

Arguments

Generate 1D random function from P-spline prior — gen_random_1d

<dl>

<dt>grid</dt>
<dd>Numeric vector of evaluation points.</dd>


<dt>k</dt>
<dd>Number of B-spline basis functions.</dd>


<dt>wiggliness</dt>
<dd>Controls smoothness. Higher = more wiggly.</dd>

</dl>

Generate 1D random function from P-spline prior

gen_random_1d: Generate 1D random function from P-spline prior

Description

Usage

Value

Arguments