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>.
| Version: |
0.5.2 |
| Depends: |
R (≥ 3.5.0), cna (≥ 3.2.0) |
| Imports: |
Rcpp (≥ 1.0.7), matrixStats, ggplot2, dplyr, stats, utils |
| LinkingTo: |
Rcpp |
| Published: |
2022-07-08 |
| 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: |
NEWS |
| CRAN checks: |
cnaOpt results |
Documentation:
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