CorrBin-package {CorrBin} | R Documentation |

## Nonparametrics for Correlated Binary and Multinomial Data

### Description

This package implements nonparametric methods for analyzing exchangeable binary and multinomial data with variable cluster sizes with emphasis on trend testing. The input should specify the treatment group, cluster-size, and the number of responses (i.e. the number of cluster elements with the outcome of interest) for each cluster.

### Details

The

`CBData/CMData`

and`read.CBData/read.CMData`

functions create a ‘CBData’ or ‘CMData’ object used by the analysis functions.-
`ran.CBData`

and`ran.CMData`

can be used to generate random binary or multinomial data using a variety of distributions. -
`mc.test.chisq`

tests the assumption of marginal compatibility underlying all the methods, while`mc.est`

estimates the distribution of the number of responses under marginal compatibility. Finally,

`trend.test`

performs three different tests for trend along the treatment groups for binomial data.

### Author(s)

Aniko Szabo

Maintainer: Aniko Szabo <aszabo@mcw.edu>

### References

Szabo A, George EO. (2009) On the Use of Stochastic Ordering to
Test for Trend with Clustered Binary Data. *Biometrika*

Stefanescu, C. & Turnbull, B. W. (2003) Likelihood inference for exchangeable
binary data with varying cluster sizes. *Biometrics*, 59, 18-24

Pang, Z. & Kuk, A. (2007) Test of marginal compatibility and smoothing
methods for exchangeable binary data with unequal cluster sizes.
*Biometrics*, 63, 218-227

*CorrBin*version 1.6.1 Index]