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:	0.1.1
Depends:	R (≥ 4.1)
Imports:	dplyr, ggplot2, rlang, stats, tibble, tidyr
Published:	2024-10-03
DOI:	10.32614/CRAN.package.cacc
Author:	Asier Moneva [aut, cre], Miriam Esteve [aut], Timothy C. Hart [aut]
Maintainer:	Asier Moneva <amoneva at nscr.nl>
BugReports:	https://github.com/amoneva/cacc/issues
License:	MIT + file LICENSE
URL:	https://github.com/amoneva/cacc
NeedsCompilation:	no
Citation:	cacc citation info
Materials:	README NEWS
CRAN checks:	cacc results

Documentation:

Reference manual:

cacc.pdf

Downloads:

Package source:	cacc_0.1.1.tar.gz
Windows binaries:	r-devel: cacc_0.1.1.zip, r-release: cacc_0.1.1.zip, r-oldrel: cacc_0.1.1.zip
macOS binaries:	r-release (arm64): cacc_0.1.1.tgz, r-oldrel (arm64): cacc_0.1.1.tgz, r-release (x86_64): cacc_0.1.1.tgz, r-oldrel (x86_64): cacc_0.1.1.tgz
Old sources:	cacc archive

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