cnaOpt: 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) <doi:10.1177/0049124121995554>.

Getting started

Package details

AuthorMathias Ambuehl [aut, cre, cph], Michael Baumgartner [aut, cph]
MaintainerMathias Ambuehl <mathias.ambuehl@consultag.ch>
LicenseGPL (>= 2)
Version0.5.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("cnaOpt")

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cnaOpt documentation built on July 8, 2022, 5:06 p.m.