htestClust: 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) <doi:10.1111/1541-0420.00005>. 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) <doi:10.1177/0962280220928572>, Nevalainen, J., Oja, H., and Datta, S. (2017) <doi:10.1002/sim.7288> Dutta, S. and Datta, S. (2015) <doi:10.1111/biom.12447>, Lorenz, D., Datta, S., and Harkema, S. (2011) <doi:10.1002/sim.4368>, Datta, S. and Satten, G. (2008) <doi:10.1111/j.1541-0420.2007.00923.x>, Datta, S. and Satten, G. (2005) <doi:10.1198/016214504000001583>.

Version:	0.1.0
Depends:	R (≥ 3.5.0)
Imports:	bootstrap, MASS, stats
Published:	2020-06-29
Author:	Mary Gregg [aut, cre], Somnath Datta [aut], Doug Lorenz [aut]
Maintainer:	Mary Gregg <megregg07 at gmail.com>
License:	MIT + file LICENSE
NeedsCompilation:	no
CRAN checks:	htestClust results

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