DEFFbinary: Compute the design effect for correlated binary data
Version 0.1

This package implements the method in Brown and Jiang (2009), "Intraclass Correlation and the Design Effect for Binary Random Effects Models", unpublished. Computes the intraclass correlation, the design effect, and standard errors for the intercept for a binary-valued model with a group-level random effect, when the number of groups and number of observations per group are specified.

AuthorPatrick Brown, Hedy Jiang
Date of publicationNone
MaintainerPatrick Brown <patrick.brown@utoronto.ca>
LicenseGPL
Version0.1
Package repositoryView on R-Forge
InstallationInstall the latest version of this package by entering the following in R:
install.packages("DEFFbinary", repos="http://R-Forge.R-project.org")

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NAMESPACE
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DEFFbinary documentation built on May 21, 2017, 3:36 a.m.

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