Introduction | Design and implementation | Maximum association measures | Permutation tests | Computation times | Conclusions

Introduction | Methodology | Package contents and implementation | Illustrations: Using package robmed | Summary and discussion | Details on the diagnostic plot with a tolerance ellipse | Additional summary output of robust bootstrap tests

Introduction | LaTeX documents containing output from r2spss | Illustrations: Using package r2spss

Introduction | Data sets | Indicators | Basic design and core functionality | Robust estimation | Variance estimation | Conclusions

Introduction | Social exclusion indicators | The Pareto distribution | Finding the threshold | Estimation of the shape parameter | Estimation of the indicators using Pareto tail modeling | Conclusions

Introduction | Basic design of the package | Calculation of the equivalized disposable income | Weighted median and quantile estimation | Indicators on social exclusion and poverty | Extracting information using the subset() method | Conclusions

Introduction | General wrapper function for variance estimation | Naive bootstrap | Calibrated bootstrap | Conclusions