prussian

Deaths by year, by corp, from horse kicks.

datasets

Bayesian analysis of item-response theory (IRT) models,
roll call analysis; computing highest density regions;
maximum likelihood estimation of zero-inflated and hurdle models for count data;
goodness-of-fit measures for GLMs;
data sets used in writing	and teaching; seats-votes curves.

Simon Jackman

pscl

Political Science Computational Laboratory

Alex Tahk

Achim Zeileis

Christina Maimone

James Fearon

Zoe Meers

prussian function

A data frame with 280 observations on the following 3 variables.<dl>
 <dt><code>y</code></dt>
<dd>a numeric vector, count of deaths</dd> <dt><code>year</code></dt>
<dd>a numeric vector, 18XX, year of observation</dd> <dt><code>corp</code></dt>
<dd>a <code><a href="/link/factor?package=pscl&version=1.5.9" data-mini-rdoc="pscl::factor">factor</a></code>, corp of Prussian Army generating
 observation</dd> 
</dl>

Format

Prussian army horse kick data — prussian

A data frame with 280 observations on the following 3 variables.<dl>
 <dt><code>y</code></dt>
<dd>a numeric vector, count of deaths</dd>

 <dt><code>year</code></dt>
<dd>a numeric vector, 18XX, year of observation</dd>

 <dt><code>corp</code></dt>
<dd>a <code><a href='https://rdrr.io/r/base/factor.html'>factor</a></code>, corp of Prussian Army generating
 observation</dd>

 
</dl>

prussian: Prussian army horse kick data

Description

Usage

Arguments

Format

Examples