sample_pspline_coef_1d

Samples coefficients from \(N(0, P^{-1})\) where
\(P = (1/\mathrm{wiggliness}) \cdot K'K + I\) and \(K\) is a
2nd-order difference matrix.

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

sample_pspline_coef_1d function

<dl><dt>k</dt>
<dd>Number of basis functions.</dd>
<dt>wiggliness</dt>
<dd>Controls smoothness. Higher = more wiggly.</dd></dl>

Arguments

Sample coefficients from 1D P-spline prior — sample_pspline_coef_1d

<dl>

<dt>k</dt>
<dd>Number of basis functions.</dd>


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

</dl>

Sample coefficients from 1D P-spline prior

sample_pspline_coef_1d: Sample coefficients from 1D P-spline prior

Description

Usage

Value

Arguments