mice

Unpublished laboratory data on the proportion of affected foetuses in two groups (control and treatment) of 10 
 pregnant female mice (Kupper and Haseman, 1978, p. 75).

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

mice function

A data frame with 20 observations on the following 3 variables.<dl>
 <dt>group</dt>
<dd>a factor with levels <code>CTRL</code> and <code>TREAT</code></dd> <dt>n</dt>
<dd>a numeric vector: the total number of foetuses.</dd> <dt>y</dt>
<dd>a numeric vector: the number of affected foetuses.</dd> 
</dl>

Format

Pregnant Female Mice Experiment — mice

A data frame with 20 observations on the following 3 variables.<dl>
 <dt>group</dt>
<dd>a factor with levels <code>CTRL</code> and <code>TREAT</code></dd>

 <dt>n</dt>
<dd>a numeric vector: the total number of foetuses.</dd>

 <dt>y</dt>
<dd>a numeric vector: the number of affected foetuses.</dd>

 
</dl>

mice: Pregnant Female Mice Experiment

Description

Usage

Arguments

Format

References