cacc: Conjunctive Analysis of Case Configurations

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.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: dplyr, ggplot2, rlang, stats, tibble, tidyr
Published: 2022-10-28
DOI: 10.32614/CRAN.package.cacc
Author: Asier Moneva ORCID iD [aut, cre], Miriam Esteve [aut], Timothy C. Hart [aut]
Maintainer: Asier Moneva <amoneva at>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: cacc citation info
Materials: README NEWS
CRAN checks: cacc results


Reference manual: cacc.pdf


Package source: cacc_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): cacc_0.1.0.tgz, r-oldrel (arm64): cacc_0.1.0.tgz, r-release (x86_64): cacc_0.1.0.tgz, r-oldrel (x86_64): cacc_0.1.0.tgz


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