columna API reference - v0.5.0
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    Interface OrdinalResult

    interface OrdinalResult {
        aic: number;
        bic: number;
        coefficients: OrdinalCoefficient[];
        converged: boolean;
        goodnessOfFit: {
            deviance: { df: number; pValue: number; statistic: number };
            pearson: { df: number; pValue: number; statistic: number };
        };
        gTest: { df: number; pValue: number; statistic: number };
        iterations: number;
        levels: string[];
        logLik: number;
        n: number;
        nullLogLik: number;
        omitted: number[];
        probabilities: Float64Array<ArrayBufferLike>[];
        test: "ordinal logistic";
        thresholds: OrdinalCoefficient[];
        predict(x: ArrayLike<number> | ArrayLike<number>[]): number[][];
    }
    Index
    aic bic coefficients converged goodnessOfFit gTest iterations levels logLik n nullLogLik omitted probabilities test thresholds
    predict
    aic: number
    bic: number
    coefficients: OrdinalCoefficient[]
    converged: boolean
    goodnessOfFit: {
        deviance: { df: number; pValue: number; statistic: number };
        pearson: { df: number; pValue: number; statistic: number };
    }
    gTest: { df: number; pValue: number; statistic: number }
    iterations: number
    levels: string[]

    Sorted response levels (ascending).

    logLik: number
    n: number
    nullLogLik: number
    omitted: number[]
    probabilities: Float64Array<ArrayBufferLike>[]

    Fitted category probabilities per row (n × K).

    test: "ordinal logistic"
    thresholds: OrdinalCoefficient[]

    Threshold constants θ₁ … θ_{K−1} (Minitab: Const(1), Const(2), …).

    • Predicted probabilities for new predictor rows.

      Parameters

      • x: ArrayLike<number> | ArrayLike<number>[]

      Returns number[][]

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