CLMC-package: Multiple comparisons using composite likelihood for clustered...

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

Description

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

Author(s)

Mahdis Azadbakhsh, Xin Gao, Hanna Jankowski.

References

Azadbakhsh,M., Gao,X., Jankowski,H. (2016) Multiple Comparisons Using Composite Likelihood in Clustered Data. Submitted.

Hothorn, T., Bretz, F., Westfall, P., Heiberger, R. M., Schutzenmeister, A.(2010) multcomp: Simultaneous Inference for General Linear Hypotheses, R package version 1.1-7, http://CRAN.R-project.org/package=multcomp

m-azad/CLMC documentation built on May 21, 2019, 9:17 a.m.