Introduction | A Traditional Approach | A More Flexible and Robust Approach | Notes on the Workflow | About MarketMatching Package | Summary of features: | Example | Prospective Pseudo Power Curves | Getting optimized market pairs (test/control) recommendations | How Does Dynamic Time Warping Work? | Dynamic Time Warping Example | How Does Intervention Inference Work? | Some Technical Details | About Spike-and-Slab Priors | How to Select the Local Level Standard Error | Note on Structural Time Series Models | References

Introduction | Information Theory | Defining WOE and IV | The Weight of Evidence | Ties to Naive Bayes and Logistic Regression | The Information Value | Estimating WOE | Extensions to Exploratory Analysis for Uplift Models | The Information R Package | Data Used in Examples | Key Functions | External Cross Validation | Example for a Traditional Binary Classification Problem | Ranking All Variables Using Adjusted IV | Analyzing WOE Patterns | Plotting WOE Patterns | Omitting Cross Validation | Changing the Number of Bins | Uplift Example | Combining IV Analysis With Variable Clustering | Summary | References | Other Packages that support information theory