UPMASK-package          Unsupervised Photometric Membership Assignment
                        in Stellar Clusters
UPMASKdata              Run UPMASK in a data frame
UPMASKfile              Run UPMASK in a file
analyse_randomKde2d     Perform analysis of random 2d distributions
analyse_randomKde2d_AutoCalibrated
                        Perform analysis of random 2d distributions
                        (auto calibrated)
analyse_randomKde2d_smart
                        Perform analysis of random 2d distributions
create_randomKde2d      Compute the density based distance quantity
                        using a 2D Kernel Density Estimation
create_smartTable       Create a look up table
getStarsAtHighestDensityRegion
                        Perform cut in the membership list based on the
                        2D space distribution
innerLoop               UPMASK inner loop
kde2dForSubset          Compute the density based distance quantity
                        using a 2D Kernel Density Estimation
meanThreeSigRej         Perform cuts in the data
outerLoop               UPMASK outer loop
performCuts             Perform cuts in the data
takeErrorsIntoAccount   Take Errors Into Account for UPMASK analysis
