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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: | 0.2.2 |
Depends: | R (≥ 3.5.0) |
Imports: | bootstrap, graphics, MASS, stats |
Suggests: | knitr, rmarkdown |
Published: | 2022-05-18 |
DOI: | 10.32614/CRAN.package.htestClust |
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 |
Reference manual: | htestClust.pdf |
Vignettes: |
*htestClust*: a package for marginal inference of clustered data under informative cluster size |
Package source: | htestClust_0.2.2.tar.gz |
Windows binaries: | r-devel: htestClust_0.2.2.zip, r-release: htestClust_0.2.2.zip, r-oldrel: htestClust_0.2.2.zip |
macOS binaries: | r-release (arm64): htestClust_0.2.2.tgz, r-oldrel (arm64): htestClust_0.2.2.tgz, r-release (x86_64): htestClust_0.2.2.tgz, r-oldrel (x86_64): htestClust_0.2.2.tgz |
Old sources: | htestClust archive |
Please use the canonical form https://CRAN.R-project.org/package=htestClust to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.