Package index • autoFlagR

Data Preprocessing

Prepare data for anomaly detection

prep_for_anomaly(): Prepare Data for Anomaly Detection

Anomaly Detection

Score and flag anomalies

score_anomaly(): Score Anomalies Using Unsupervised Machine Learning
flag_top_anomalies(): Flag Top Anomalies Based on Score Threshold
get_top_anomalies(): Get Top Anomalous Records

Report Generation

Generate comprehensive audit reports

generate_audit_report(): Generate Automated Data Quality Audit Report
create_rmd_template(): Create R Markdown Template

Benchmarking & Metrics

Evaluate performance and extract metrics

extract_benchmark_metrics(): Extract Benchmark Metrics from Scored Data
calculate_benchmark_metrics(): Calculate Benchmarking Metrics
calculate_feature_importance(): Calculate Feature Importance for Anomalies