crime

This dataset, reported and analyzed by Kadane (1985), comes from the
National Crime Survey conducted by the U.S. Bureau of the
Census. Occupants of housing units were interviewed to determine
whether they had been victimized by crime in the preceding six-month
period. Six months later, the units were visited again to determine
whether the occupants had been victimized during the intervening
months. Missing values for various reasons occurred at both occasions.

 datasets

Extends R's implementation of categorical variables (factors)
to handle coarsened observations; implements log-linear models for
coarsened categorical data, including latent-class models. Detailed
information and examples are provided in the package vignettes.

Joseph Schafer

cvam

Coarsened Variable Modeling

crime function

a data frame with 9 rows and 3 variables:
<dl> <dt><code>V1</code></dt>
<dd>victimization status from the first visit</dd>
 <dt><code>V2</code></dt>
<dd>victimization status from the second visit</dd>
 <dt><code>n</code></dt>
<dd>frequency in sample</dd></dl>

Format

This dataset, reported and analyzed by Kadane (1985), comes from the
National Crime Survey conducted by the U.S. Bureau of the
Census. Occupants of housing units were interviewed to determine
whether they had been victimized by crime in the preceding six-month
period. Six months later, the units were visited again to determine
whether the occupants had been victimized during the intervening
months. Missing values for various reasons occurred at both occasions.

Crime Victimization Data — crime

a data frame with 9 rows and 3 variables:
<dl>

 <dt><code>V1</code></dt>
<dd>victimization status from the first visit</dd>


 <dt><code>V2</code></dt>
<dd>victimization status from the second visit</dd>


 <dt><code>n</code></dt>
<dd>frequency in sample</dd>



</dl>

crime: Crime Victimization Data

Description

Usage

Arguments

Format