Package: htestClust 0.2.2

Mary Gregg

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>.

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

htestClust_0.2.2.tar.gz
htestClust_0.2.2.tar.gz(r-4.5-noble)htestClust_0.2.2.tar.gz(r-4.4-noble)
htestClust_0.2.2.tgz(r-4.4-emscripten)htestClust_0.2.2.tgz(r-4.3-emscripten)
htestClust.pdf |htestClust.html
htestClust/json (API)

# Install 'htestClust' in R:
install.packages('htestClust', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • screen8 - Example data for informative cluster size

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 6 scripts 198 downloads 11 exports 2 dependencies

Last updated 2 years agofrom:099f4af579. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 15 2024
R-4.5-linuxOKOct 15 2024

Exports:chisqtestClustcortestClusticsPloticstestClustlevenetestClustmcnemartestClustonewaytestClustproptestClustttestClustvartestClustwilcoxtestClust

Dependencies:bootstrapMASS

htestClust: a package for marginal inference of clustered data under informative cluster size

Rendered fromhtestClust.Rmdusingknitr::rmarkdownon Oct 15 2024.

Last update: 2022-05-18
Started: 2022-05-18

Readme and manuals

Help Manual

Help pageTopics
Chi-squared Test for Clustered Count DatachisqtestClust
Test for Marginal Association Between Paired Clustered DatacortestClust cortestClust.default cortestClust.formula
Test of Marginal Proportion for Clustered DataicsPlot
Test for Informative Cluster SizeicstestClust
Reweighted Levene's Test for Homogeneity of Variance in Clustered DatalevenetestClust levenetestClust.default levenetestClust.formula
Test of Marginal Homogeneity for Clustered DatamcnemartestClust
Test for Equal Marginal Means in Clustered DataonewaytestClust onewaytestClust.default onewaytestClust.formula
Test of Marginal Proportion for Clustered DataproptestClust
Example data for informative cluster sizescreen8
Test of Marginal Means in Clustered DatattestClust ttestClust.default ttestClust.formula
Reweighted Test to Compare Two Variances in Clustered DatavartestClust vartestClust.default vartestClust.formula
Rank Sum and Signed Rank Tests for Clustered DatawilcoxtestClust wilcoxtestClust.default wilcoxtestClust.formula