Package: mvMonitoring 0.2.4

Introduction \label | Motivation \label | Why use mvMonitoring | Multi- or Single-State AD-PCA | The msp Functions | Simulating Data with mspProcessData | Latent Feature Creation | Autocorrelated and Non-Stationary Error | The Non-Linear Latent Process | Single-State and Multi-State Features | Single State Features | Multi-State Features | Synthetic Fault Induction | Putting it all together... | Training with mspTrain | The xts Data Matrix | The Class Vector | Adaptive and Dynamic Modelling | Model Training | Monitoring Incoming Observations with mspMonitor | Issue a Warning with mspWarning | Example Simulation Workflow | Generating Synthetic Data | Train the Fault Detection Threshold | Test New Observations for Anomalies | Adding Lagged Features | Monitoring the Test Data | Warn Operators during Alarms | Conclusion