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QCA: Qualitative Comparative Analysis

An extensive set of functions to perform Qualitative Comparative Analysis: crisp sets ('csQCA'), temporal ('tQCA'), multi-value ('mvQCA') and fuzzy sets ('fsQCA'), using a GUI - graphical user interface. 'QCA' is a methodology that bridges the qualitative and quantitative divide in social science research. It uses a Boolean minimization algorithm, resulting in a minimal causal configuration associated with a given phenomenon.

Version: 3.22
Depends: R (≥ 3.6.0), admisc (> 0.34)
Imports: methods, shiny, declared, venn, lpSolve
Published: 2024-03-15
DOI: 10.32614/CRAN.package.QCA
Author: Adrian Dusa ORCID iD [aut, cre, cph], Ciprian Paduraru ORCID iD [ctb], jQuery Foundation [cph] (jQuery library and jQuery UI library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/gui/www/lib/jquery-AUTHORS.txt), Vasil Dinkov [ctb, cph] (jquery.smartmenus.js library), Dmitry Baranovskiy [ctb, cph] (raphael.js library), Emmanuel Quentin [ctb, cph] (raphael.inline_text_editing.js library), Jimmy Breck-McKye [ctb, cph] (raphael-paragraph.js library), Alrik Thiem [aut] (from version 1.0-0 up to version 1.1-3)
Maintainer: Adrian Dusa <dusa.adrian at unibuc.ro>
License: GPL (≥ 3)
NeedsCompilation: yes
Citation: QCA citation info
Materials: ChangeLog
CRAN checks: QCA results

Documentation:

Reference manual: QCA.pdf

Downloads:

Package source: QCA_3.22.tar.gz
Windows binaries: r-devel: QCA_3.22.zip, r-release: QCA_3.22.zip, r-oldrel: QCA_3.22.zip
macOS binaries: r-release (arm64): QCA_3.22.tgz, r-oldrel (arm64): QCA_3.22.tgz, r-release (x86_64): QCA_3.22.tgz, r-oldrel (x86_64): QCA_3.22.tgz
Old sources: QCA archive

Reverse dependencies:

Reverse depends: SetMethods
Reverse imports: braQCA, QCAcluster, QCAtools
Reverse suggests: admisc, venn

Linking:

Please use the canonical form https://CRAN.R-project.org/package=QCA to link to this page.

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.