antibio

Hypothetical drug trial to compare the effect of four antibiotics against Shipping fever in calves 
 (Shoukri and Pause, 1999, Table 3.11).

datasets

Provides a set of functions to analyse
overdispersed counts or proportions. Most of the methods are
already available elsewhere but are scattered in different
packages. The proposed functions should be considered as
complements to more sophisticated methods such as generalized
estimating equations (GEE) or generalized linear mixed effect
models (GLMM).

Renaud Lancelot

Analysis of Overdispersed Data

antibio function

A data frame with 24 observations on the following 3 variables.<dl class="dl-horizontal">
 <dt>treatment</dt><dd>A factor with levels <code>1</code>, <code>2</code>, <code>3</code> and <code>4</code></dd>
 <dt>n</dt><dd>A numeric vector: the number of treated animals within a two-week period.</dd>
 <dt>y</dt><dd>A numeric vector: the number of deaths at the end of the two weeks.</dd>
 </dl>

Format

Antibiotics against Shipping Fever in Calves — antibio

A data frame with 24 observations on the following 3 variables.<dl class='dl-horizontal'>
 <dt>treatment</dt><dd>A factor with levels <code>1</code>, <code>2</code>, <code>3</code> and <code>4</code></dd>
 <dt>n</dt><dd>A numeric vector: the number of treated animals within a two-week period.</dd>
 <dt>y</dt><dd>A numeric vector: the number of deaths at the end of the two weeks.</dd>
 </dl>

antibio: Antibiotics against Shipping Fever in Calves

Description

Usage

Arguments

Format

References