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.
- Version0.2.2
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release05/18/2022
Documentation
Team
Mary Gregg
Somnath Datta
Show author detailsRolesAuthorDoug Lorenz
Insights
Last 30 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports2 packages
- Suggests2 packages