Predict.matrix.pi.smooth

Predict.matrix method for pi basis

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

Predict.matrix.pi.smooth function

<dl><dt>object</dt>
<dd>a <code>pi.smooth</code> object created by
<code>smooth.construct.pi.smooth.spec</code>, see
<code><a href="/link/smooth.construct?package=refund&version=0.1-37" data-mini-rdoc="refund::smooth.construct">smooth.construct</a></code></dd>
<dt>data</dt>
<dd>see <code><a href="/link/smooth.construct?package=refund&version=0.1-37" data-mini-rdoc="refund::smooth.construct">smooth.construct</a></code></dd></dl>

Arguments

Author

Predict.matrix method for pi basis — Predict.matrix.pi.smooth

<dl>

<dt>object</dt>
<dd>a <code>pi.smooth</code> object created by
<code>smooth.construct.pi.smooth.spec</code>, see
<code><a href='https://rdrr.io/pkg/mgcv/man/smooth.construct.html'>smooth.construct</a></code></dd>


<dt>data</dt>
<dd>see <code><a href='https://rdrr.io/pkg/mgcv/man/smooth.construct.html'>smooth.construct</a></code></dd>

</dl>

Predict.matrix method for pi basis

Predict.matrix.pi.smooth: Predict.matrix method for pi basis

Description

Usage

Value

Arguments

Author