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CorrBin (version 1.4)

Nonparametrics with clustered binary and multinomial 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

1.4

License

GPL (>= 2)

Maintainer

Aniko Szabo

Last Published

December 12th, 2013

Functions in CorrBin (1.4)

egde

EGDE data
SO.LRT

Likelihood-ratio test statistic
betabin.pdf

Parametric distributions for correlated binary data
trend.test

Test for increasing trend with correlated binary data
SO.mc.est

Order-restricted MLE assuming marginal compatibility
CBData

Create a `CBdata' object from a data frame.
RS.trend.test

Rao-Scott trend test
mChoose

Internal CorrBin objects
ran.CBData

Generate random correlated binary data
soControl

Control values for order-constrained fit
GEE.trend.test

GEE-based trend test
mc.test.chisq.CMData

Test the assumption of reproducibility
CorrBin-package

Nonparameterics for correlated binary data
unwrap

Unwrap a clustered object
dehp

Developmental toxicology study of DEHP in mice
read.CBData

Read data from external file into a CBData object
CMData

Create a `CMdata' object from a data frame.
mc.est.CMData

Distribution of the number of responses assuming marginal compatibility.
shelltox

Shell Toxicology data
SO.trend.test

Likelihood ratio test of stochastic ordering
NOSTASOT

Finding the NOSTASOT dose
read.CMData

Read data from external file into a CMData object