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SCAtools  

Direction-Aware Sufficiency Condition Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SCAtools", "0.4.3")



Attach the package and use:
library("SCAtools")
Maintained by
Young Chan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-18
Latest Update: 2026-09-18
Description:
Provides a direction-aware interface for analysing bivariate sufficiency statements from empty-space frontier patterns. Logical sufficiency directions (high or low levels of a condition and outcome) are kept separate from the physical location of the empty corner in the scatter plot. Computation is delegated to version 5 of the 'NCA' package based on Dul (2016) <doi:10.1177/1094428115584005>, using the contraposition between necessity and sufficiency. Threshold tables are computed in actual units and converted by this package, so percentage, percentile and standard-deviation scales follow one stated reporting convention in every sufficiency direction. Includes tidy summaries, threshold rules, plots, random-data generation, permutation tests, and power analysis. An ordinary least-squares line can be drawn beside the frontier as a central-tendency reference; it is an average-effect summary and never a component of a sufficiency claim. An empty-space pattern alone does not establish causality or deterministic sufficiency.
How to cite:
Young Chan (2026). SCAtools: Direction-Aware Sufficiency Condition Analysis. R package version 0.4.3, https://cran.r-project.org/web/packages/SCAtools. Accessed 03 Oct. 2026.
Previous versions and publish date:
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Complete documentation for SCAtools
Functions, R codes and Examples using the SCAtools R package
Full SCAtools package functions and examples
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