Package: cacc 0.1.1

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.

Authors:Asier Moneva [aut, cre], Miriam Esteve [aut], Timothy C. Hart [aut]

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cacc.pdf |cacc.html
cacc/json (API)
NEWS

# Install 'cacc' in R:
install.packages('cacc', repos = c('https://amoneva.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/amoneva/cacc/issues

Datasets:

On CRAN:

criminologydata-analysissocial-science

2.70 score 5 scripts 292 downloads 6 exports 36 dependencies

Last updated 2 months agofrom:63a924dfbe. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 02 2024
R-4.5-winOKNov 02 2024
R-4.5-linuxOKNov 02 2024
R-4.4-winOKNov 02 2024
R-4.4-macOKNov 02 2024
R-4.3-winOKNov 02 2024
R-4.3-macOKNov 02 2024

Exports:cacccluster_scicluster_xsqmain_effectplot_effectplot_sci

Dependencies:clicolorspacecpp11dplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr