hepab

This data set appears as an example for an application of mixture modelling in disease mapping. The data is on hepatitis B cases in Berlin 1989.

datasets

Tools for the analysis of finite semiparametric mixtures.
These are useful when data is heterogeneous, e.g. in
pharmacokinetics or meta-analysis. The NPMLE and VEM algorithms
(flexible support size) and EM algorithms (fixed support size)
are provided for univariate (Bohning et al., 1992;
<doi:10.2307/2532756>) and bivariate data (Schlattmann et
al., 2015; <doi:10.1016/j.jclinepi.2014.08.013>).

Philipp Doebler

CAMAN

Finite Mixture Models and Meta-Analysis Tools - Based on C.A.MAN

hepab function

A data frame with 23 observations on the following 2 variables.<dl>
 <dt><code>observations</code></dt>
<dd>a numeric vector</dd> <dt><code>expected</code></dt>
<dd>a numeric vector</dd> 
</dl>

Format

Hepatitis B data from Schlattmann and B\"ohning (1993). — hepab

A data frame with 23 observations on the following 2 variables.<dl>
 <dt><code>observations</code></dt>
<dd>a numeric vector</dd>

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

 
</dl>

hepab: Hepatitis B data from Schlattmann and B\"ohning (1993).

Description

Usage

Arguments

Format

References