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cnaOpt (version 0.1.0)

Optimizing Consistency and Coverage in Configurational Causal Modeling

Description

This is an add-on to the 'cna' package 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 .

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Version

Install

install.packages('cnaOpt')

Monthly Downloads

269

Version

0.1.0

License

GPL (>= 2)

Maintainer

Mathias Ambuehl

Last Published

October 21st, 2019

Functions in cnaOpt (0.1.0)

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