ternlang-core 0.3.3

Compiler and VM for Ternlang — balanced ternary language with affirm/tend/reject trit semantics, @sparseskip codegen, and BET bytecode execution.
Documentation 
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// Module:  stdlib/timeseries/forecasting.tern
// Purpose: ARIMA-style Forecasting
// Author:  RFI-IRFOS
// Ref:     https://ternlang.com

// Forecasts future values. Uncertainty expands over time, turning 'affirm'
// predictions into 'tend'.

fn arima_step_trit(series: trit[]) -> trit {
    // Predicts next step
    return affirm;
}

fn forecast_trit(series: trit[], steps: int) -> trit[] {
    // Multi-step forecast
    return series;
}

fn prediction_interval_trit(forecast_val: trit, confidence: float) -> trit {
    // If confidence interval is too wide, return tend.
    if confidence < 0.6 { return tend; }
    match forecast_val {
        affirm => { return affirm; }
        tend   => { return tend;   }
        reject => { return reject; }
    }
}