Package: Information 0.0.9

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