compute_gaulss_scores

gaulss uses `tau = 1/sigma` with logb link and defines `family$sandwich`,
which prevents the generic GLM score path. Scores are computed analytically
from the log-likelihood and transformed to linear predictor space.

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_gaulss_scores function

<dl><dt>b</dt>
<dd>Fitted GAM object.</dd>
<dt>X</dt>
<dd>Model matrix with `lpi` attribute.</dd></dl>

Arguments

Compute per-observation scores for gaulss family — compute_gaulss_scores

<dl>

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


<dt>X</dt>
<dd>Model matrix with `lpi` attribute.</dd>

</dl>

Compute per-observation scores for gaulss family

compute_gaulss_scores: Compute per-observation scores for gaulss family

Description

Usage

Value

Arguments