Package: cnaOpt Title: Optimizing Consistency and Coverage in Configurational Causal Modeling Authors@R: c(person("Mathias", "Ambuehl", role = c("aut", "cre", "cph"), email = "mathias.ambuehl@consultag.ch"), person("Michael", "Baumgartner", role = c("aut", "cph"), email = "michael.baumgartner@uib.no") ) Version: 0.5.3 Date: 2025-08-20 Description: This is an add-on to the 'cna' package 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) . Depends: R (>= 3.5.0), cna (>= 3.2.0) Imports: Rcpp (>= 1.0.7), matrixStats, ggplot2, dplyr, stats, utils LinkingTo: Rcpp License: GPL (>= 2) Encoding: UTF-8 NeedsCompilation: yes Author: Mathias Ambuehl [aut, cre, cph], Michael Baumgartner [aut, cph] Maintainer: Mathias Ambuehl Packaged: 2026-06-16 09:55:46 UTC; root Config/pak/sysreqs: cmake make libicu-dev Repository: https://mathiasambuehl.r-universe.dev Date/Publication: 2025-08-20 10:40:02 UTC RemoteUrl: https://github.com/cran/cnaOpt RemoteRef: HEAD RemoteSha: 348c17953508d9a8ff564e63b0175793aade6c4a