simpson_weights

Computes Simpson's rule weights for numerical integration on an equidistant
grid. This matches pffr's default integration method in ff() terms.
Note: pffr uses (b-a)/n/3 (divides by grid length n), not (b-a)/(n-1)/3.

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

simpson_weights function

<dl><dt>xind</dt>
<dd>Numeric vector of evaluation points.</dd></dl>

Arguments

Compute Simpson integration weights — simpson_weights

<dl>

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

</dl>

Compute Simpson integration weights

simpson_weights: Compute Simpson integration weights

Description

Usage

Value

Arguments