DEFFbinary: Compute the design effect for correlated binary data

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the method in Brown and Jiang (2009), "Intraclass Correlation and the Design Effect for Binary Random Effects Models", unpublished.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

View on R-Forge

Files in this package

DEFFbinary
DEFFbinary/NAMESPACE
DEFFbinary/R
DEFFbinary/R/DEFFbinary.R
DEFFbinary/DESCRIPTION
DEFFbinary/man
DEFFbinary/man/DEFFbinary.Rd

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

All documentation is copyright its authors; we didn't write any of that.