CorrBin-package {CorrBin} | R Documentation |
This package implements nonparametric methods for analysing exchangeable binary 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.
Package: | CorrBin |
Type: | Package |
Version: | 1.0 |
Date: | 2009-04-06 |
License: | GPL 2 |
LazyLoad: | yes |
CBData
and read.CBData
functions create a `CBData'
object used by the analysis functions.
ran.CBData
can be used to generate random data with prespecified mean response
and within-cluster correlation.
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.
trend.test
performs three different tests for trend
along the treatment groups.
Aniko Szabo
Maintainer: Aniko Szabo <aszabo@mcw.edu>
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