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  [aut,
cre] (<https://orcid.org/0000-0002-7304-9409>),
Solomon W. Harrar
[aut] (<https://orcid.org/0000-0001-6802-340X>) |
| Maintainer: |
Yue Cui <YueCui at MissouriState.edu> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
npclust results |
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