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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.
Getting started
Browse package contents
Package details |
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| 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@MissouriState.edu> |
| License | GPL (>= 2) |
| Version | 0.1.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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