Package: cnaOpt
Title: Optimizing Consistency and Coverage in Configurational Causal
        Modeling
Authors@R: c(person("Mathias", "Ambuehl", role = c("aut", "cre", "cph"), 
                    email = "mathias.ambuehl@consultag.ch"),
             person("Michael", "Baumgartner", role = c("aut", "cph"),
                     email = "michael.baumgartner@unige.ch")
             )
Version: 0.1.1
Date: 2019-12-09
Description: 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>.
Depends: R (>= 3.4.0), cna (>= 2.2.2)
Imports: Rcpp, matrixStats, ggplot2, dplyr, stats, utils
LinkingTo: Rcpp
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2019-12-09 09:30:53 UTC; MAM
Author: Mathias Ambuehl [aut, cre, cph],
  Michael Baumgartner [aut, cph]
Maintainer: Mathias Ambuehl <mathias.ambuehl@consultag.ch>
Repository: CRAN
Date/Publication: 2019-12-09 09:50:02 UTC
Built: R 4.0.2; x86_64-w64-mingw32; 2020-08-02 14:22:41 UTC; windows
Archs: i386, x64
