build_cl2_working_gaulss

Uses a pseudo-observation expansion with one pseudo-row per linear predictor
component (location and scale).

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

build_cl2_working_gaulss function

<dl><dt>b</dt>
<dd>Fitted GAM object with `family = gaulss`.</dd>
<dt>cluster_id</dt>
<dd>Cluster vector for original observations.</dd></dl>

Arguments

Build CL2 working representation for gaulss family — build_cl2_working_gaulss

<dl>

<dt>b</dt>
<dd>Fitted GAM object with `family = gaulss`.</dd>


<dt>cluster_id</dt>
<dd>Cluster vector for original observations.</dd>

</dl>

Build CL2 working representation for gaulss family

build_cl2_working_gaulss: Build CL2 working representation for gaulss family

Description

Usage

Value

Arguments