R: Optimizing Consistency and Coverage in Configurational Causal Modeling

# Optimizing Consistency and Coverage in Configurational Causal Modeling

## Documentation for package ‘cnaOpt’ version 0.5.3

- DESCRIPTION file
- Package NEWS

## Help Pages

cnaOpt | Find atomic solution formulas with optimal consistency and coverage
conCovOpt | Find consistency and coverage optima for configurational data
conCovOpt_utils | Build disjunctive normal forms realizing con-cov optima
DNFbuild | Build disjunctive normal forms realizing con-cov optima
ereduce | Find all minimal disjunctive normal forms (DNF) of an input DNF
findOutcomes | Identify the factors that can possibly be modeled as outcomes prior to running CNA
multipleMax | Select the con-cov optima from a "conCovOpt" object that maximize 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
selectMax | Select the con-cov optima from a "conCovOpt" object that maximize a specified optimality criterion