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the method in Brown and Jiang (2009), "Intraclass Correlation and the Design Effect for Binary Random Effects Models", unpublished.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

Getting started

Package details

AuthorPatrick Brown, Hedy Jiang
MaintainerPatrick Brown <[email protected]>
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("DEFFbinary", repos="")

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DEFFbinary documentation built on May 31, 2017, 4:29 a.m.