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STATassist  

Standardised Statistical Comparison Workflows
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("STATassist", "1.0.0")



Attach the package and use:
library("STATassist")
Maintained by
Wonseok Oh
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-05
Latest Update: 2026-09-05
Description:
Runs the applicable tests for a comparison in one call and returns standardised result tables. One-sample, two-group, multi-group, factorial and categorical workflows report parametric, rank-based and robust results side by side with effect sizes, confidence intervals and multiplicity-adjusted p-values. Supervised fits, embeddings, clustering and simulators follow the same result contracts. Methods include those of Welch (1947) <doi:10.1093/biomet/34.1-2.28>, Wilcoxon (1945) <doi:10.2307/3001968>, Mann and Whitney (1947) <doi:10.1214/aoms/1177730491>, Kruskal and Wallis (1952) <doi:10.1080/01621459.1952.10483441>, Friedman (1937) <doi:10.1080/01621459.1937.10503522>, Tukey (1949) <doi:10.2307/3001913>, Dunn (1964) <doi:10.1080/00401706.1964.10490181>, Yuen (1974) <doi:10.1093/biomet/61.1.165>, Brunner and Munzel (2000) <doi:10.1002/(SICI)1521-4036(200001)42:1%3C17::AID-BIMJ17%3E3.0.CO;2-U>, Algina, Keselman and Penfield (2005) <doi:10.1037/1082-989X.10.3.317>, DeLong, DeLong and Clarke-Pearson (1988) <doi:10.2307/2531595>, Sun and Xu (2014) <doi:10.1109/LSP.2014.2337313>, Pencina, D'Agostino, D'Agostino and Vasan (2008) <doi:10.1002/sim.2929>, and Pencina, D'Agostino and Steyerberg (2011) <doi:10.1002/sim.4085>.
How to cite:
Wonseok Oh (2026). STATassist: Standardised Statistical Comparison Workflows. R package version 1.0.0, https://cran.r-project.org/web/packages/STATassist. Accessed 29 Sep. 2026.
Previous versions and publish date:
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Complete documentation for STATassist
Functions, R codes and Examples using the STATassist R package
Full STATassist package functions and examples
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