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eqmcc
(enhanced Quine-McCluskey) that finds exact solutions much faster and with
substantially lower memory consumption than QMC (Dusa 2007, 2010). Since version
1.0-4, the compilation of major parts of the code in the C language has increased
the speed of some core functions such as superSubset
. Since version
1.1-0, eqmcc
has been made more flexible: besides the previous
possibility to relax row dominance (Thiem and Dusa 2013a), QCA path models can now
be identified (equivalent of "causal chains" in Coincidence Analysis
(Baumgartner 2009a, b)), multivalent outcomes are allowed, and truth tables for
csQCA and mvQCA can now be coded on the basis of inference-statistical tests
(currently only exact binomial). For more details, see the package's change log file.
Several data sets from various areas of research have also been integrated in
order to facilitate familiarization with the package's functionality. Areas
currently covered are education (d.SS
), environmental sciences
(d.Bas
), evaluation (d.SA
), health
(d.BWB
), management (d.CZH
), political science
(d.Emm
, d.HK
, d.Kro
) and sociology
(d.CS
). For more details, see the data sets' documentation files.
How to make the most of the package's capabilities is demonstrated in detail by
Thiem and Dusa (2013b) with examples from political science (note that data sets
have been renamed). The general reference for the QCA package is Thiem and Dusa
(2013c). For full publication information, use command citation("QCA")
.
Later versions of the package than those used in these publications may feature
different functions, arguments or values, but backward compatibility is ensured.