wordcount.case

The data are the number of occurences of an article in five-word and ten-word samples from 
Macaulay's 'Essay on Milton' and G.K. Chesterton's essay 'About the workers'.

datasets

Under- and over-dispersed binary data are modeled using an extended Poisson
process model (EPPM) appropriate for binary data. A feature of the model is that the
under-dispersion relative to the binomial distribution only needs to be greater than
zero, but the over-dispersion is restricted compared to other distributional models
such as the beta and correlated binomials. Because of this, the examples focus on
under-dispersed data and how, in combination with the beta or correlated distributions,
flexible models can be fitted to data displaying both under- and over-dispersion. Using
Generalized Linear Model (GLM) terminology, the functions utilize linear predictors for
the probability of success and scale-factor with various link functions for p, and log
link for scale-factor, to fit a variety of models relevant to areas such as bioassay.
Details of the EPPM are in Faddy and Smith (2012) <doi:10.1002/bimj.201100214> and
Smith and Faddy (2019) <doi:10.18637/jss.v090.i08>.

David Smith

BinaryEPPM

Mean and Scale-Factor Modeling of Under- And Over-Dispersed
Binary Data

wordcount.case function

A data frame with 340 observations on the following 5 variables.<dl>
 <dt><code>author</code></dt>
<dd>a factor with levels <code> Macaulay</code> <code> Chesterton</code></dd> <dt><code>fsize</code></dt>
<dd>a factor with levels <code>5</code> <code>10</code></dd> <dt><code>vsize</code></dt>
<dd>a numeric vector</dd> <dt><code>number.words</code></dt>
<dd>a numeric vector</dd> <dt><code>number.tested</code></dt>
<dd>a numeric vector</dd> 
</dl>

Format

Number of occurences of an article in five-word and ten-word samples from two authors. — wordcount.case

A data frame with 340 observations on the following 5 variables.<dl>
 <dt><code>author</code></dt>
<dd>a factor with levels <code> Macaulay</code> <code> Chesterton</code></dd>

 <dt><code>fsize</code></dt>
<dd>a factor with levels <code>5</code> <code>10</code></dd>

 <dt><code>vsize</code></dt>
<dd>a numeric vector</dd>

 <dt><code>number.words</code></dt>
<dd>a numeric vector</dd>

 <dt><code>number.tested</code></dt>
<dd>a numeric vector</dd>

 
</dl>

wordcount.case: Number of occurences of an article in five-word and ten-word samples from two authors.

Description

Usage

Arguments

Format

References

Examples