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CorrBin (version 1.3)

Nonparametrics with clustered binary data

Description

This package implements non-parametric analyses for clustered binary data. The elements of the cluster are assumed exchangeable, and identical joint distribution (also known as marginal compatibility, or reproducibility) is assumed for clusters of different sizes. A trend test based on stochastic ordering is implemented.

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Version

Install

install.packages('CorrBin')

Monthly Downloads

207

Version

1.3

License

GPL (>= 2)

Maintainer

Aniko Szabo

Last Published

November 9th, 2012

Functions in CorrBin (1.3)

SO.trend.test

Likelihood ratio test of stochastic ordering
ran.CBData

Generate random correlated binary data
RS.trend.test

Rao-Scott trend test
GEE.trend.test

GEE-based trend test
read.CBData

Read data from external file into a CBData object
SO.LRT

Likelihood-ratio test statistic
soControl

Control values for order-constrained fit
shelltox

Shell Toxicology data
SO.mc.est

Order-restricted MLE assuming marginal compatibility
CorrBin-internal

Internal CorrBin objects
unwrap.CBData

Unwrap a CBData object
CorrBin-package

Nonparameterics for correlated binary data
mc.test.chisq

Test the assumption of reproducibility
egde

EGDE data
NOSTASOT

Finding the NOSTASOT dose
mc.est

Distribution of the number of responses assuming marginal compatibility.
CBData

Create a `CBdata' object from a data frame.
qpower.pdf

Parametric distributions for correlated binary data
trend.test

Test for increasing trend with correlated binary data