compute_integration_weights

Computes numerical integration weights using Simpson's rule, trapezoidal
rule, or Riemann sums. Used by [ff()] and [sff()] for constructing
functional regression terms.

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

compute_integration_weights function

<dl><dt>xind</dt>
<dd>Matrix of x-index values (n x nxgrid). Each row contains the
evaluation points for one observation.</dd>
<dt>integration</dt>
<dd>Character: "simpson", "trapezoidal", or "riemann".</dd></dl>

Arguments

Compute integration weights for ff/sff terms — compute_integration_weights

<dl>

<dt>xind</dt>
<dd>Matrix of x-index values (n x nxgrid). Each row contains the
evaluation points for one observation.</dd>


<dt>integration</dt>
<dd>Character: "simpson", "trapezoidal", or "riemann".</dd>

</dl>

Compute integration weights for ff/sff terms

compute_integration_weights: Compute integration weights for ff/sff terms

Description

Usage

Value

Arguments