LogisticExample

Randomly generated data with Bernoulli responses for functional logistic regression example follows Case I from Liu et. al. (2022).

data

An implementation of the methodologies described in Xi Liu, Afshin A. Divani, and Alexander Petersen (2022) <doi:10.1016/j.csda.2022.107421>, including
truncated functional linear and truncated functional logistic regression models.

Chau Tran

FGLMtrunc

Truncated Functional Generalized Linear Models

Xi Liu

Alexander Petersen

LogisticExample function

List containing the following elements:<dl>
<dt>X.curves</dt>
<dd>200 by 101 matrix of functional predictors.</dd><dt>Y</dt>
<dd>200 by 1 numeric vector of Bernoulli responses.</dd><dt>beta.true</dt>
<dd>The true functional parameter \(\beta\).</dd>
</dl>

Format

Simulated data for functional logistic regression. — LogisticExample

List containing the following elements:<dl>
<dt>X.curves</dt>
<dd>200 by 101 matrix of functional predictors.</dd>

<dt>Y</dt>
<dd>200 by 1 numeric vector of Bernoulli responses.</dd>

<dt>beta.true</dt>
<dd>The true functional parameter \(\beta\).</dd>


</dl>

LogisticExample: Simulated data for functional logistic regression.

Description

Usage

Arguments

Format

References