build_cl2_working_standard

Factorizes per-observation scores as `Xw_i * z_i` to avoid constructing
a dense score 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

build_cl2_working_standard function

<dl><dt>b</dt>
<dd>Fitted GAM object.</dd>
<dt>cluster_id</dt>
<dd>Cluster vector.</dd></dl>

Arguments

Build CL2 working representation for standard single-LP families — build_cl2_working_standard

<dl>

<dt>b</dt>
<dd>Fitted GAM object.</dd>


<dt>cluster_id</dt>
<dd>Cluster vector.</dd>

</dl>

Build CL2 working representation for standard single-LP families

build_cl2_working_standard: Build CL2 working representation for standard single-LP families

Description

Usage

Value

Arguments