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the method in Brown and Jiang (2009), "Intraclass Correlation and the Design Effect for Binary Random Effects Models", unpublished.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

Author
Patrick Brown, Hedy Jiang
Date of publication
None
Maintainer
Patrick Brown <patrick.brown@utoronto.ca>
License
GPL
Version
0.1

View on R-Forge

Man pages

DEFFbinary
Compute the design effect for correlated binary data

Files in this package

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