https://CRAN.R-project.org/package=cna> comprising various functions for optimizing consistency and coverage scores of models of configurational comparative methods as Coincidence Analysis (CNA) and Qualitative Comparative Analysis (QCA). The function conCovOpt() calculates con-cov optima, selectMax() selects con-cov maxima among the con-cov optima, DNFbuild() can be used to build models actually reaching those optima, and findOutcomes() identifies those factor values in analyzed data that can be modeled as outcomes. For a theoretical introduction to these functions see Baumgartner and Ambuehl (2021) <doi:10.1177/0049124121995554>.">

cnaOpt: Optimizing Consistency and Coverage in Configurational Causal Modeling (original) (raw)

This is an add-on to the 'cna' package <https://CRAN.R-project.org/package=cna> comprising various functions for optimizing consistency and coverage scores of models of configurational comparative methods as Coincidence Analysis (CNA) and Qualitative Comparative Analysis (QCA). The function conCovOpt() calculates con-cov optima, selectMax() selects con-cov maxima among the con-cov optima, DNFbuild() can be used to build models actually reaching those optima, and findOutcomes() identifies those factor values in analyzed data that can be modeled as outcomes. For a theoretical introduction to these functions see Baumgartner and Ambuehl (2021) <doi:10.1177/0049124121995554>.

Version: 0.5.3
Depends: R (≥ 3.5.0), cna (≥ 3.2.0)
Imports: Rcpp (≥ 1.0.7), matrixStats, ggplot2, dplyr, stats, utils
LinkingTo: Rcpp
Published: 2025-08-20
DOI: 10.32614/CRAN.package.cnaOpt
Author: Mathias Ambuehl [aut, cre, cph], Michael Baumgartner [aut, cph]
Maintainer: Mathias Ambuehl <mathias.ambuehl at consultag.ch>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials:
CRAN checks: cnaOpt results

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