accidents

The number of accidents incurred by 122 shunters in two consecutive year periods, namely 1937 - 1942 and 1943 - 1947

datasets

A toolkit containing statistical analysis models motivated by multivariate forms of the Conway-Maxwell-Poisson (COM-Poisson) distribution for flexible modeling of multivariate count data, especially in the presence of data dispersion. Currently the package only supports bivariate data, via the bivariate COM-Poisson distribution described in Sellers et al. (2016) <doi:10.1016/j.jmva.2016.04.007>. Future development will extend the package to higher-dimensional data.

Diag Davenport

multicmp

Flexible Modeling of Multivariate Count Data via the
Multivariate Conway-Maxwell-Poisson Distribution

Kimberly Sellers

Darcy Steeg Morris

Narayanaswamy Balakrishnan

accidents function

A dataframe with 122 rows and 2 variables:<dl class="dl-horizontal">
 <dt>x</dt><dd>Number of shunter accidents between 1937 and 1942</dd>
 <dt>y</dt><dd>Number of shunter accidents between 1943 and 1947</dd>
</dl>

Format

Shunter accidents — accidents

A dataframe with 122 rows and 2 variables:<dl class='dl-horizontal'>
 <dt>x</dt><dd>Number of shunter accidents between 1937 and 1942</dd>
 <dt>y</dt><dd>Number of shunter accidents between 1943 and 1947</dd>
</dl>

accidents: Shunter accidents

Description

Usage

Arguments

Format