diabetes

This data comes from a study (Sockett et al, 1987) of the factors affecting patterns of insulin-dependent mellitus in children. The objective is to investigate the dependence of the level of serum C-peptide on the various other factors in order to understand the patterns of residual insulin secretion. The response measurement is the logarithm of C-peptide concentration (pmol/ml) at the diagnosis, and the predictor measurements age and base deficit, a measure of acidity.

Provides diagnostic graphic tools for GLMs, beta-binomial regression model (estimated by 'VGAM' package), beta regression model (estimated by 'betareg' package) and negative binomial regression model (estimated by 'MASS' package). Since most of functions implemented in 'glmxdiag' already exist in other packages, the aim is to provide the user unique functions that work on almost all regression models previously specified. Details about some of the implemented functions can be found in Brown (1992) <doi:10.2307/2347617>, Dunn and Smyth (1996) <doi:10.2307/1390802>, O'Hara Hines and Carter (1993) <doi:10.2307/2347405>, Wang (1985) <doi:10.2307/1269708>.

Giuseppe Reale

glmxdiag

A Collection of Graphic Tools for GLM Diagnostics and some
Extensions

diabetes function

A data frame with 43 observations on the following 3 variables.<dl class="dl-horizontal">
 <dt><code>Age</code></dt><dd>age of the child.</dd>
 <dt><code>Def</code></dt><dd>base deficit, a measure of acidity.</dd>
 <dt><code>C_pep</code></dt><dd>logarithm of C-peptide concentration (pmol/ml).</dd>
 </dl>

Format

Diabetes — diabetes

A data frame with 43 observations on the following 3 variables.<dl class='dl-horizontal'>
 <dt><code>Age</code></dt><dd>age of the child.</dd>
 <dt><code>Def</code></dt><dd>base deficit, a measure of acidity.</dd>
 <dt><code>C_pep</code></dt><dd>logarithm of C-peptide concentration (pmol/ml).</dd>
 </dl>

diabetes: Diabetes

Description

Usage

Arguments

Format