Optimizing Consistency and Coverage in Configurational Causal Modeling

Documentation for package ‘cnaOpt’ version 0.1.1

cnaOpt	Find atomic solution formulas with optimal consistency and coverage
conCovOpt	Find consistency and coverage optima for configurational data
DNFbuild	Build disjunctive normal forms realizing con-cov optima
ereduce	Eliminate redundancies from disjunctive normal forms (DNF)
findOutcomes	Identify the factors that can possibly be modeled as outcomes prior to running CNA
multipleMax	Select the con-cov optimum from a "conCovOpt" object that is best according to a specified optimality criterion
plot.conCovOpt	Find consistency and coverage optima for configurational data
print.conCovOpt	Find consistency and coverage optima for configurational data
reprodAssign	Build disjunctive normal forms realizing con-cov optima
rreduce	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