CorrBin: Nonparametrics with Clustered Binary and Multinomial Data

This package implements non-parametric analyses for clustered binary and multinomial 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.

AuthorAniko Szabo [aut, cre]
Date of publication2016-05-05 14:48:17
MaintainerAniko Szabo <aszabo@mcw.edu>
LicenseGPL (>=2)
Version1.5

View on R-Forge

Functions

betabin.pdf Man page
CBData Man page
[.CBData Man page
CMData Man page
[.CMData Man page
CorrBin Man page
CorrBin-package Man page
corr.from.pi Man page
corr.from.tau Man page
dehp Man page
DownUpMatrix Man page
egde Man page
Extract Man page
GEE.trend.test Man page
jointprobs Man page
Marginals Man page
mc.est Man page
mc.est.CBData Man page
mc.est.CMData Man page
mc.est.raw Man page
mChoose Man page
mChooseTable Man page
mc.test.chisq Man page
mc.test.chisq.CBData Man page
mc.test.chisq.CMData Man page
mg.DirMult Man page
mg.LogitNorm Man page
mg.MixMult Man page
mg.Resample Man page
multi.corr Man page
multinom.gen Man page
NOSTASOT Man page
pdf Man page
p.from.tau Man page
qpower.pdf Man page
ran.CBData Man page
ran.CMData Man page
read.CBData Man page
read.CMData Man page
.required Man page
RS.trend.test Man page
shelltox Man page
soControl Man page
SO.LRT Man page
SO.mc.est Man page
SO.trend.test Man page
tau.from.pi Man page
trend.test Man page
uniprobs Man page
unwrap Man page
unwrap.CBData Man page
unwrap.CMData Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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