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cacc
View on CRAN: Click
here
Download and install cacc package within the R console
Install from CRAN:
install.packages("cacc")
Install from Github:
library("remotes")
install_github("cran/cacc") Install by package version:
library("remotes")
install_version("cacc", "0.1.1") Attach the package and use:
library("cacc")
Maintained by
Asier Moneva
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-10-28
Latest Update: 2024-10-03
Description:
A set of functions to conduct Conjunctive Analysis of Case Configurations (CACC) as described in Miethe, Hart, and Regoeczi (2008) , and identify and quantify situational clustering in dominant case configurations as described in Hart (2019) . 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.
How to cite:
Asier Moneva (2022). cacc: Conjunctive Analysis of Case Configurations. R package version 0.1.1, https://cran.r-project.org/web/packages/cacc. Accessed 12 Mar. 2026.
Previous versions and publish date:
0.1.0 (2022-10-28 19:10)
Other packages that cited cacc R package
View cacc citation profile
Other R packages that cacc depends,
imports, suggests or enhances
Complete documentation for cacc
Functions, R codes and Examples using
the cacc R package
Some associated functions: cacc . cluster_sci . cluster_xsq . main_effect . onharassment . plot_effect . plot_sci .
Some associated R codes: cacc.R . cluster_sci.R . cluster_xsq.R . data.R . main_effect.R . plot_effect.R . plot_sci.R . Full cacc package functions and examples
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