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npclust
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", "0.1.0")
Attach the package and use:
library("npclust")
Maintained by
Yue Cui
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-04-12
Latest Update: 2023-04-12
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 0.1.0, https://cran.r-project.org/web/packages/npclust
Previous versions and publish date:
No previous versions
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Other R packages that npclust depends,
imports, suggests or enhances
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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