acc_sim                 Utility function to generate accuracy metrics,
                        for use with 'estimate_accuracy()'
br                      Replication data for 'Predicting Recidivism'
estimate_accuracy       Estimate sample complexity bounds for a binary
                        classification algorithm using either simulated
                        or user-supplied data.
gendata                 Simulate data with appropriate structure to be
                        used in estimating sample complexity bounds
getpac                  Recalculate achieved sample complexity bounds
                        given different parameter inputs
loss                    Utility function to define the least-squares
                        loss function to be optimized for 'simvcd()'
plot_accuracy           Represent simulated sample complexity bounds
                        graphically
risk_bounds             Utility function to generate data points for
                        estimation of the VC Dimension of a
                        user-specified binary classification algorithm
                        given a specified sample size.
scb                     Calculate sample complexity bounds for a
                        classifier given target accuracy
simvcd                  Estimate the Vapnik-Chervonenkis (VC) dimension
                        of an arbitrary binary classification
                        algorithm.
