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npclust  

Nonparametric Tests for Incomplete Clustered Data
View on CRAN: Click here


Download and install npclust package within the R console
Install from CRAN:
install.packages("npclust")

Install from Github:
library("remotes")
install_github("cran/npclust")

Install by package version:
library("remotes")
install_version("npclust", "0.1.1")



Attach the package and use:
library("npclust")
Maintained by
Yue Cui
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-04-12
Latest Update: 2024-12-03
Description:
Nonparametric tests for clustered data in pre-post intervention design documented in Cui and Harrar (2021) and Harrar and Cui (2022) . 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.
How to cite:
Yue Cui (2023). npclust: Nonparametric Tests for Incomplete Clustered Data. R package version 0.1.1, https://cran.r-project.org/web/packages/npclust. Accessed 27 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:25), 0.1.0 (2023-04-12 20:50)
Other packages that cited npclust R package
View npclust citation profile
Other R packages that npclust depends, imports, suggests or enhances
Complete documentation for npclust
Functions, R codes and Examples using the npclust R package
Some associated functions: ARTIS . ConfInterval . Plot.ConfInt . Plot.box . ProcessData . ncda . skin . 
Some associated R codes: ARTIS.R . ConfInterval.R . Fhat.R . J.R . Plot.ConfInt.R . Plot.box.R . ProcessData.R . ncda.R . skin.R .  Full npclust package functions and examples
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