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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "SCAtools" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'SCAtools: Direction-Aware Sufficient Condition Analysis'
version: 0.5.1
identifiers:
- type: doi
  value: 10.32614/CRAN.package.SCAtools
abstract: Tests whether a high or low level of a condition is enough to guarantee
  a high or low level of an outcome. Such a claim predicts that one corner of the
  condition-outcome scatter plot is empty of observations. The package estimates the
  boundary of that empty corner, its size as a share of the scope (the effect size),
  a permutation test against random pairing, and a threshold table giving the condition
  level that guarantees each outcome level, in actual units, percentages, percentiles
  or standard deviations. Each of the four directions (high or low condition, high
  or low outcome) is stated as a claim and mapped to its empty corner. Because a condition
  can rule out low outcomes while barely moving the average, results can be set beside
  ordinary least-squares and median regression slopes, showing whether the data hold
  an average effect, a sufficiency effect or both. Also provides plots, influential-case
  diagnostics, scope-sensitivity and resampling checks, random-data generation and
  power analysis for planning studies. Frontiers are estimated with the 'NCA' package.
authors:
- family-names: Chan
  given-names: Young
  email: youngchanresearcher@gmail.com
preferred-citation:
  type: manual
  title: 'SCAtools: Direction-Aware Sufficient Condition Analysis'
  authors:
  - family-names: Chan
    given-names: Young
    email: youngchanresearcher@gmail.com
  year: '2026'
  notes: R package version 0.5.1
repository: https://youngchanresearcher.r-universe.dev
repository-code: https://github.com/youngchanresearcher/SCAtools
commit: ca1ce7249ac676f8f633e18c0cf98a1b2b70eb63
url: https://github.com/youngchanresearcher/SCAtools
date-released: '2026-10-12'
contact:
- family-names: Chan
  given-names: Young
  email: youngchanresearcher@gmail.com
references:
- type: generic
  title: 'From Necessity to Sufficiency and Necessity-and-Sufficiency: Extending Condition
    Analysis in Degree'
  authors:
  - family-names: Chan
    given-names: Young
  year: in press
  medium: University of Leeds
- type: generic
  title: 'Mean Effects Are Not Sufficiency Effects: How Sufficient Condition Analysis
    Complements Regression Analysis'
  authors:
  - family-names: Chan
    given-names: Young
  year: in press
  medium: University of Leeds
- type: article
  title: 'Necessary Condition Analysis (NCA): Logic and Methodology of ''Necessary
    but Not Sufficient'' Causality'
  authors:
  - family-names: Dul
    given-names: Jan
  journal: Organizational Research Methods
  year: '2016'
  volume: '19'
  issue: '1'
  doi: 10.1177/1094428115584005
  start: '10'
  end: '52'