How does R support real-time anomaly detection systems?

R supports anomaly detection via streaming pipelines, statistical models, and ML-based scoring systems.

Real-time anomaly detection is achieved by integrating R with streaming systems like Kafka or Spark Streaming. Models are pre-trained and deployed as scoring functions. Statistical methods like z-score or isolation forests are applied in micro-batches.