m-azad/CLMC: Multiple comparisons using composite likelihood for clustered data

Multiple hypothesis testing, based on composite likelihoodinference for clustered data, with common covariance structure across the clusters. The critical value is based on multivariate normal quantile, using the R-package \code{multcomp} by Hothorn, et.al.

Getting started

Package details

MaintainerMahdis Azadbakhsh <mahdis@yorku.ca>
LicenseGPL (>= 2)
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
m-azad/CLMC documentation built on May 21, 2019, 9:17 a.m.