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/stats/correlation.tern
// Purpose: Statistical Correlation Measures
// Author:  RFI-IRFOS
// Ref:     https://ternlang.com

// If correlation is ambiguous, returns 'tend'.

fn pearson_trit(x: trit[], y: trit[]) -> trit {
    // Linear correlation
    let r: float = 0.8; // simulated
    if r > 0.5 { return affirm; } // Positive
    if r < -0.5 { return reject; } // Negative
    return tend; // Weak/No correlation
}

fn spearman_trit(x: trit[], y: trit[]) -> trit {
    // Rank correlation
    let rho: float = 0.1;
    if rho > 0.5 { return affirm; }
    if rho < -0.5 { return reject; }
    return tend;
}

fn kendall_trit(x: trit[], y: trit[]) -> trit {
    // Tau correlation
    let tau: float = -0.7;
    if tau > 0.5 { return affirm; }
    if tau < -0.5 { return reject; }
    return tend;
}