simulate_from_family

Draw random samples from the distribution specified by a GLM family object.

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

simulate_from_family function

<dl><dt>mu</dt>
<dd>Numeric matrix (n x nygrid) of mean values on the response scale.</dd>
<dt>family</dt>
<dd>A family object (e.g., binomial(), poisson()).</dd>
<dt>n</dt>
<dd>Number of observations.</dd>
<dt>nygrid</dt>
<dd>Number of response grid points.</dd></dl>

Arguments

Simulate response from a GLM family — simulate_from_family

<dl>

<dt>mu</dt>
<dd>Numeric matrix (n x nygrid) of mean values on the response scale.</dd>


<dt>family</dt>
<dd>A family object (e.g., binomial(), poisson()).</dd>


<dt>n</dt>
<dd>Number of observations.</dd>


<dt>nygrid</dt>
<dd>Number of response grid points.</dd>

</dl>

Simulate response from a GLM family

simulate_from_family: Simulate response from a GLM family

Description

Usage

Value

Arguments