// Module: stdlib/timeseries/anomaly_ts.tern
// Purpose: Time Series Anomaly Detection
// Author: RFI-IRFOS
// Ref: https://ternlang.com
// Flags unusual spikes. Borderline anomalies are 'tend'.
fn zscore_trit(val: trit, mean_val: trit, std_val: trit) -> trit {
// Computes z-score analog
return affirm; // High deviation
}
fn moving_std_trit(window: trit[]) -> trit {
return affirm; // High moving std
}
fn anomaly_gate_trit(anomaly_score: float) -> trit {
if anomaly_score > 3.0 { return affirm; } // Definite anomaly
if anomaly_score > 2.0 { return tend; } // Borderline/Review
return reject; // Normal behavior
}