coef,oscar-method       Extract coefficients of oscar-objects
cost                    Return total cost of model fit based on
                        provided kit/variable costs vector
ex_X                    Example data from TYKS / HUSLAB
feat                    Return named vector of feature indices with a
                        given k that are non-zero
kits                    Return named vector of indices for kits with a
                        given k that are non-zero
oscar                   Main OSCAR fitting function
oscar-class             S4-class for oscar
oscar-package           oscar: Optimal Subset Cardinality Regression
oscar.binarize          Binary logical indicator matrix representation
                        of an oscar object's coefficients (zero vs.
                        non-zero, i.e. feature inclusion)
oscar.binplot           Visualize binary indicator matrix optionally
                        coupled with cross-validation performance for
                        oscar models
oscar.bs                Bootstrapping for oscar-fitted model objects
oscar.bs.boxplot        Bootstrap visualization with boxplot,
                        percentage of new additions
oscar.bs.k              Reformatting bootstrap output for cardinality k
                        rows
oscar.bs.plot           Bootstrap heatmap plot for oscar models
oscar.bs.visu           Visualize bootstrapping of a fit oscar object
oscar.control           Control OSCAR optimizer parameters
oscar.cost.after        Return total cost of model fits if the cost is
                        not included in the oscar object
oscar.cv                Cross-validation for oscar-fitted model objects
                        over k-range
oscar.cv.visu           Visualize cross-validation as a function of k
oscar.pareto            Retrieve a set of pareto-optimal points for an
                        oscar-model based on model goodness-of-fit or
                        cross-validation
oscar.pareto.visu       Visualize oscar model pareto front
oscar.sparsify          Create a sparse matrix representation of betas
                        as a function of k
oscar.visu              Target function value and total kit cost as a
                        function of number of kits included
show,oscar-method       Showing oscar-objects
