npclust: Nonparametric Tests for Incomplete Clustered Data

Nonparametric tests for clustered data in pre-post intervention design documented in Cui and Harrar (2021) <doi:10.1002/bimj.201900310> and Harrar and Cui (2022) <doi:10.1016/j.jspi.2022.05.009>. Other than the main test results mentioned in the reference paper, this package also provides a function to calculate the sample size allocations for the input long format data set, and also a function for adjusted/unadjusted confidence intervals calculations. There are also functions to visualize the distribution of data across different intervention groups over time, and also the adjusted/unadjusted confidence intervals.

Version: 0.1.1
Depends: R (≥ 2.10)
Imports: graphics, stats, MASS, ggplot2
Suggests: testthat (≥ 3.0.0)
Published: 2024-12-03
DOI: 10.32614/CRAN.package.npclust
Author: Yue Cui ORCID iD [aut, cre], Solomon W. Harrar ORCID iD [aut]
Maintainer: Yue Cui <YueCui at MissouriState.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: npclust results

Documentation:

Reference manual: npclust.pdf

Downloads:

Package source: npclust_0.1.1.tar.gz
Windows binaries: r-devel: npclust_0.1.1.zip, r-release: npclust_0.1.1.zip, r-oldrel: npclust_0.1.1.zip
macOS binaries: r-release (arm64): npclust_0.1.1.tgz, r-oldrel (arm64): npclust_0.1.1.tgz, r-release (x86_64): npclust_0.1.1.tgz, r-oldrel (x86_64): npclust_0.1.1.tgz
Old sources: npclust archive

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