Reweighted Marginal Hypothesis Tests for Clustered Data

A collection of reweighted marginal hypothesis tests for clustered data, based on reweighting methods of Williamson, J., Datta, S., and Satten, G. (2003) . The tests in this collection are clustered analogs to well-known hypothesis tests in the classical setting, and are appropriate for data with cluster- and/or group-size informativeness. The syntax and output of functions are modeled after common, recognizable functions native to R. Methods used in the package refer to Gregg, M., Datta, S., and Lorenz, D. (2020) , Nevalainen, J., Oja, H., and Datta, S. (2017) Dutta, S. and Datta, S. (2015) , Lorenz, D., Datta, S., and Harkema, S. (2011) , Datta, S. and Satten, G. (2008) , Datta, S. and Satten, G. (2005) .


Reference manual

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0.2.0 by Mary Gregg, a year ago

Browse source code at

Authors: Mary Gregg [aut, cre] , Somnath Datta [aut] , Doug Lorenz [aut]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports bootstrap, graphics, MASS, stats

See at CRAN