cnaOpt: Optimizing Consistency and Coverage in Configurational Causal Modeling

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 <>.

Version: 0.1.0
Depends: R (≥ 3.4.0), cna (≥ 2.2.1)
Imports: Rcpp, matrixStats, ggplot2, dplyr, stats, utils
LinkingTo: Rcpp
Published: 2019-10-21
Author: Mathias Ambuehl [aut, cre, cph], Michael Baumgartner [aut, cph]
Maintainer: Mathias Ambuehl <mathias.ambuehl at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: cnaOpt results


Reference manual: cnaOpt.pdf
Package source: cnaOpt_0.1.0.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: cnaOpt_0.1.0.tgz, r-oldrel: cnaOpt_0.1.0.tgz


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