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 + fileLICENSE |
| URL: | https://github.com/amoneva/cacc |
| NeedsCompilation: | no |
| Citation: | cacc citation info |
| Materials: | README,NEWS |
| CRAN checks: | cacc results |
Documentation:
| Reference manual: | cacc.html ,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 |
Linking:
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