Optimizing Consistency and Coverage in Configurational Causal Modeling

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) .


Reference manual

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0.4.0 by Mathias Ambuehl, 5 months ago

Browse source code at https://github.com/cran/cnaOpt

Authors: Mathias Ambuehl [aut, cre, cph] , Michael Baumgartner [aut, cph]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports Rcpp, matrixStats, ggplot2, dplyr, stats, utils

Depends on cna

Linking to Rcpp

See at CRAN