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Provides threshold sweep methods for Qualitative Comparative Analysis (QCA). Implements Condition Threshold Sweep-Single (CTS-S), Condition Threshold Sweep-Multiple (CTS-M), Outcome Threshold Sweep (OTS), and Dual Threshold Sweep (DTS) for systematic exploration of threshold calibration effects on crisp-set QCA results. These methods extend traditional robustness approaches by treating threshold variation as an exploratory tool for discovering causal structures. Built on top of the 'QCA' package by Dusa (2019) <doi:10.1007/978-3-319-75668-4>, with function arguments following 'QCA' conventions. Based on set-theoretic methods by Ragin (2008) <doi:10.7208/chicago/9780226702797.001.0001> and established robustness protocols by Rubinson et al. (2019) <doi:10.1177/00491241211036158>.
| Version: | 1.0.0 |
| Depends: | R (≥ 4.0) |
| Imports: | QCA |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-01-08 |
| DOI: | 10.32614/CRAN.package.TSQCA |
| Author: | Yuki Toyoda [aut, cre], Japan Society for the Promotion of Science [fnd] (KAKENHI Grant Number JP20K01998) |
| Maintainer: | Yuki Toyoda <yuki.toyoda.ds at hosei.ac.jp> |
| BugReports: | https://github.com/im-research-yt/TSQCA/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/im-research-yt/TSQCA, https://doi.org/10.5281/zenodo.17899390 |
| NeedsCompilation: | no |
| Citation: | TSQCA citation info |
| Materials: | README, NEWS |
| CRAN checks: | TSQCA results |
| Reference manual: | TSQCA.html , TSQCA.pdf |
| Vignettes: |
TSQCA Reproducible Code (English) (source, R code) TSQCA Tutorial (English) (source, R code) |
| Package source: | TSQCA_1.0.0.tar.gz |
| Windows binaries: | r-devel: TSQCA_1.0.0.zip, r-release: TSQCA_1.0.0.zip, r-oldrel: TSQCA_1.0.0.zip |
| macOS binaries: | r-release (arm64): TSQCA_1.0.0.tgz, r-oldrel (arm64): TSQCA_1.0.0.tgz, r-release (x86_64): TSQCA_1.0.0.tgz, r-oldrel (x86_64): TSQCA_1.0.0.tgz |
| Old sources: | TSQCA archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.