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The cspade action performs sequence rule mining using the cSpade algorithm to identify frequent sequences in a transaction database.
The `var` parameter is a required argument where you provide a list of the variable names from the input table that you want to use for fitting the copula.
The bart.bartGauss action fits Bayesian additive regression trees (BART) models to normally distributed response data.
The maxFlow action returns several results, including: 'ProblemSummary' (a summary of the graph input), 'SolutionSummary' (a summary of the algorithm's solution), 'objective' (the total weight of the maximum network flow), and 'solutionStatus' (the solution status of the algorithm).
Names the ordered response level.