columna API reference - v0.3.0
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    Interface AltResult

    interface AltResult {
        aic: number;
        bic: number;
        coefficients: LifeCoefficient[];
        converged: boolean;
        covariance: Matrix;
        distribution: LifeDistribution;
        iterations: number;
        logLik: number;
        n: number;
        nFailures: number;
        relation: AccelerationRelation;
        residuals: { coxSnell: Float64Array; standardized: Float64Array };
        scale: { ci: [number, number]; estimate: number; se: number };
        shape?: number;
        test: "regression with life data";
        usePercentiles?: { ci: [number, number]; p: number; time: number }[];
        accelerationFactor(stress: number, useStress: number): number;
        percentile(
            p: number,
            x: ArrayLike<number>,
            options?: { confidence?: number },
        ): { ci: [number, number]; p: number; se: number; time: number };
        survival(time: number, x: ArrayLike<number>): number;
        transform(stress: number): number;
    }

    Hierarchy (View Summary)

    Index
    aic bic coefficients converged covariance distribution iterations logLik n nFailures relation residuals scale shape? test usePercentiles?
    accelerationFactor percentile survival transform
    aic: number
    bic: number
    coefficients: LifeCoefficient[]

    Regression coefficients on the (log) location: intercept first.

    converged: boolean
    covariance: Matrix
    distribution: LifeDistribution
    iterations: number
    logLik: number
    n: number
    nFailures: number
    relation: AccelerationRelation
    residuals: { coxSnell: Float64Array; standardized: Float64Array }

    Standardized residuals (on the location-scale) and Cox–Snell residuals.

    scale: { ci: [number, number]; estimate: number; se: number }

    Scale σ (Weibull shape = 1/σ) with SE and CI.

    shape?: number
    test: "regression with life data"
    usePercentiles?: { ci: [number, number]; p: number; time: number }[]

    Percentiles at the use stress (when given): p → time with CI.

    • Acceleration factor between two stress levels.

      Parameters

      • stress: number
      • useStress: number

      Returns number

    • Percentiles at a covariate setting: t_p with delta-method CI.

      Parameters

      • p: number
      • x: ArrayLike<number>
      • Optionaloptions: { confidence?: number }

      Returns { ci: [number, number]; p: number; se: number; time: number }

    • Survival probability at a time and covariate setting.

      Parameters

      • time: number
      • x: ArrayLike<number>

      Returns number

    • Transformed stress used as the regressor (e.g. 11604.83 / (T °C + 273.15) for Arrhenius).

      Parameters

      • stress: number

      Returns number

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