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
Browse package contents
Package details |
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| Maintainer | Mahdis Azadbakhsh <mahdis@yorku.ca> |
| License | GPL (>= 2) |
| Version | 0.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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