cnaOpt v0.1.0
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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 <https://people.uib.no/mba110/docs/ConCovOpt.pdf>.
Functions in cnaOpt
| Name | Description | |
| cnaOpt | Find atomic solution formulas with optimal consistency and coverage | |
| findOutcomes | Identify the factors that can possibly be modeled as outcomes prior to running CNA | |
| reprodAssign | Build disjunctive normal forms realizing con-cov optima | |
| rreduce_ereduce | Eliminate redundancies from disjunctive normal forms (DNF) | |
| selectMax | Select the con-cov optimum from a 'conCovOpt' object that is best according to a specified optimality criterion | |
| conCovOpt | Find consistency and coverage optima for configurational data | |
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Details
| Date | 2019-10-07 |
| LinkingTo | Rcpp |
| License | GPL (>= 2) |
| Encoding | UTF-8 |
| LazyData | true |
| NeedsCompilation | yes |
| Packaged | 2019-10-18 10:29:00 UTC; MAM |
| Repository | CRAN |
| Date/Publication | 2019-10-21 14:10:06 UTC |
| depends | cna (>= 2.2.1) , R (>= 3.4.0) |
| imports | dplyr , ggplot2 , matrixStats , Rcpp , stats , utils |
| Contributors | Michael Baumgartner |
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[](http://www.rdocumentation.org/packages/cnaOpt)