fabric

In the fabric data (Bissell, 1972), the main response is the number of faults
in a bolt of fabric of length.

Allows various models for multivariate response variables where each response is assumed to follow double hierarchical generalized linear models. In double hierarchical generalized linear models, the mean, dispersion parameters for variance of random effects, and residual variance can be further modeled as random-effect models.

Maengseok Noh

mdhglm

Multivariate Double Hierarchical Generalized Linear Models

fabric function

A data frame with 32 observations on the following 3 variables.<dl class="dl-horizontal">
 <dt><code>x</code></dt><dd>log of length</dd>
 <dt><code>y</code></dt><dd>number of faults</dd>
 <dt><code>rf</code></dt><dd>obervation number for 32 obervations</dd>
 </dl>

Format

Fabric Data — fabric

A data frame with 32 observations on the following 3 variables.<dl class='dl-horizontal'>
 <dt><code>x</code></dt><dd>log of length</dd>
 <dt><code>y</code></dt><dd>number of faults</dd>
 <dt><code>rf</code></dt><dd>obervation number for 32 obervations</dd>
 </dl>

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fabric: Fabric Data

Description

Usage

Arguments

Format

References