Prerequisites: Setup the R environment | Apply the CLVTools Package | General workflow | Load sample data provided in the package | Initialize the CLV-Object | Check the clvdata Object | Estimate Model Parameters | Estimating the model using formula interface: | Estimating the model using non-formula interface: | Predict Customer Behavior | Plotting | Covariates | Add Correlation to the model | Advanced Options for Covariates | Customer Spending | Estimate Model Parameters | Predict Customer Spending | Plot Spendings | Literature

Data setup | Regularization of covariate parameters | Adding a correlation between the transaction and attrition process | Including equality constraints for covariate parameters | Controlling for endogenous covariates | Adding a Hessian matrix to an already fitted model | Running fast bootstrapping by sampling model parameters directly

Overview: An S4 class system with S3 interfaces | S3 methods: User interface | S4 classes: Internal architecture | Adding a new model

Three Key Processes of Customer Purchase Behavior | Step 1: Modeling Customer Attrition and Purchase Frequency | Step 2: Modeling Purchase Amount | Step 3: Deriving Financial Projections | Optional: Enhancing Understanding and Predictions with Covariates | Conclusion