A set of functions to conduct Conjunctive Analysis of Case Configurations (CACC) as described in Miethe, Hart, and Regoeczi (2008) <doi:10.1007/s10940-008-9044-8>, and identify and quantify situational clustering in dominant case configurations as described in Hart (2019) <doi:10.1177/0011128719866123>. Initially conceived as an exploratory technique for multivariate analysis of categorical data, CACC has developed to include formal statistical tests that can be applied in a wide variety of contexts. This technique allows examining composite profiles of different units of analysis in an alternative way to variable-oriented methods.
Package details |
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Author | Asier Moneva [aut, cre] (<https://orcid.org/0000-0002-2156-0213>), Miriam Esteve [aut], Timothy C. Hart [aut] |
Maintainer | Asier Moneva <amoneva@nscr.nl> |
License | MIT + file LICENSE |
Version | 0.1.1 |
URL | https://github.com/amoneva/cacc |
Package repository | View on CRAN |
Installation |
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