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: 0.1.0
Depends: R (≥ 2.10)
Imports: graphics, stats, MASS, ggplot2
Suggests: testthat (≥ 3.0.0)
Published: 2023-04-12
Author: Yue Cui ORCID iD [aut, cre], Solomon W. Harrar [ctb]
Maintainer: Yue Cui <YueCui at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: npclust results


Reference manual: npclust.pdf


Package source: npclust_0.1.0.tar.gz
Windows binaries: r-prerel:, r-release:, r-oldrel:
macOS binaries: r-prerel (arm64): npclust_0.1.0.tgz, r-release (arm64): npclust_0.1.0.tgz, r-oldrel (arm64): npclust_0.1.0.tgz, r-prerel (x86_64): npclust_0.1.0.tgz, r-release (x86_64): npclust_0.1.0.tgz


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