sdcTable Vignette | About this vignette | How to protect data - An overview | A simple example | Starting from microdata | Using aggregated data | Defining hierarchies | defining level-structure for variable V1 | defining level-structure for variable V2 | defining level-structure for variable V3 | Creating objects of class sdcProblem for further processing | Identifying sensitive cells | Secondary cell suppression using sdcTable | Remarks

Abstract | Introduction | Prerequisites | Quick start | Background | Statistical disclosure control | LLMs in statistical workflows | Provider landscape | Software design | Architecture overview | Privacy by design | Provider-agnostic LLM access | Structured tool calling | Combined utility measure | LLM-assisted variable classification | The AI_createSdcObj() function | Reasoning transparency | Interactive confirmation | LLM-assisted anonymization | The AI_applyAnonymization() function | Agentic loop: batch and refinement | Example session | Adjusting utility weights | Using different LLM providers | Graphical user interface | AI variable suggestion | AI-Assisted anonymization panel | Reproducibility | Discussion | Advantages and limitations | Privacy considerations | Comparison with related work | Summary and outlook | Computational details | References

About the cellKey package | Main Features | An Example | Load the Package | Specifying inputdata | Specifying dimensions | Setup a table instance | Defining perturbation parameters | Perturbation parameters for count variables | Perturbation parameters for continuous variables | Compute perturbed tables | Extracting results | Obtain perturbed tables for count tables | Obtain perturbed tables for magnitude tables | Utility-measures | Utility measures for count variables | Utility measures for continuous variables | Additional Features | Summary

Overview | Functionality | Some differences to SAS-Code | Risk definition | Sampling probability | Swapping Records | Application | Supplying index vectors | Similarity profiles | Carry along variables | Supplying your own risk values | Information loss | sdcMicro Objects

Introduction | Features of the package | Main features | Graphical User interface (GUI) | Auxiliary features | Frequency Tables | Examples of the main features | Load the Package | Minimal Parameter Setting and Computation of the Transition Probabilities | Computation of the Transition Probabilities | The Transition Matrix | Symmetry - and what does it mean in the context of perturbation tables? | Output Checking and Troubleshooting | The default ptable and the modified ptable | The default ptable | The modified ptable | Extended Parameter Setting | Setting the probability of an original frequency to remain unperturbed | Do not allow for positive cell values equal to or below a specified threshold value | Advanced Parameter Setting | Examples of the auxiliary features | Analyzing and plotting the results | Plotting the Transition Probabilities in a Matrix | Plotting the Perturbation Panel | Plotting the Distribution of the Perturbation Values/Noise | Save the plot to a file | Exporting the results | Troubleshooting Example: Violation of the fixed variance condition | Magnitude Tables | Simple Setting | Setting the parameters for magnitude tables | References

Introduction and Main Features | About/Help | Microdata | Upload microdata | Testdata/internal data | R-dataset (.rdata) | SPSS-file (.sav) | SAS-file (.sasb7dat) | CSV-file (.csv, .txt) | STATA-file (.dta) | Additional options | Modify microdata | Display microdata | Explore variables | Reset variables | Use subset of microdata | Convert numeric to factor | Convert variables to numeric | Modify factor variable | Create a stratification variable | Set specific values to NA | Hierarchical data | Anonymize | Set up a problem | Anonymization Methods | View/Analyze existing sdcProblem | Show summary | Explore variables | Add linked variables | Create new IDs | Anonymize categorical variables | Recoding | k-Anonymity | PRAM (simple) | PRAM (expert) | Supress values with high risks | Anonymize numerical variables | Top-/Bottom Coding | Microaggregation | Adding Noise | Rank Swapping | Risk/Utility | Risk measures | Information of risk | Suda2 risk measure | l-Diversity risk measure | Visualizations | Barplot/Mosaicplot | Tabulations | Information loss | Obs violating k-Anon | Numerical risk measures | Compare summary statistics | Disclosure Risk | Information loss | Export Data | Anonymized Data | Anonymization Report | Change Stata Labels | Reproducibility | View/Save the current script | Import a previously saved sdcProblem | Export/Save the current sdcProblem | Undo