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TSQCA: Threshold-Sweep Qualitative Comparative Analysis in R

Published: January 16, 2026 | arXiv ID: 2601.11229v1

By: Yuki Toyoda

Potential Business Impact:

Finds best ways to analyze complex data.

Business Areas:
A/B Testing Data and Analytics

Qualitative Comparative Analysis (QCA) requires researchers to choose calibration and dichotomization thresholds, and these choices can substantially affect truth tables, minimization, and resulting solution formulas. Despite this dependency, threshold sensitivity is often examined only in an ad hoc manner because repeated analyses are time-intensive and error-prone. We present TSQCA, an R package that automates threshold-sweep analyses by treating thresholds as explicit analytical variables. It provides four sweep functions (otSweep, ctSweepS, ctSweepM, dtSweep) to explore outcome thresholds, single-condition thresholds, multi-condition threshold grids, and joint outcome-condition threshold spaces, respectively. TSQCA integrates with the established CRAN package QCA for truth table construction and Boolean minimization, while returning structured S3 objects with consistent print/summary methods and optional detailed results. The package also supports automated Markdown report generation and configuration-chart output to facilitate reproducible documentation of cross-threshold results.

Country of Origin
🇯🇵 Japan

Page Count
23 pages

Category
Statistics:
Methodology