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 [aut, cre], Solomon W. Harrar [ctb]
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_0.1.0.tar.gz
Windows binaries:	r-prerel: npclust_0.1.0.zip, r-release: npclust_0.1.0.zip, r-oldrel: npclust_0.1.0.zip
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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