import type { ZScoreInput, ZScoreResult, AssessmentInput, AssessmentResult } from './types.js';
import type { LmsRow } from './types.js';
/**
 * Standard normal CDF approximation (Abramowitz & Stegun, formula 26.2.17).
 * Maximum error: 7.5e-8.
 */
export declare function normalCdf(z: number): number;
/**
 * Calculate z-score from measurement and LMS parameters.
 *
 * Standard formula: Z = ((measurement/M)^L - 1) / (L * S)
 * When L = 0: Z = ln(measurement/M) / S
 *
 * WHO extrapolation for |Z| > 3:
 *   SD3pos = M * (1 + L*S*3)^(1/L)
 *   SD23pos = SD3pos - SD2pos
 *   If Z > 3: Z = 3 + (measurement - SD3pos) / SD23pos
 *   If Z < -3: Z = -3 + (measurement - SD3neg) / SD23neg
 */
export declare function computeZScore(measurement: number, lms: LmsRow): number;
/**
 * Calculate z-score and percentile for a single indicator.
 */
export declare function calculateZScore(input: ZScoreInput): Promise<ZScoreResult | null>;
/**
 * Calculate all applicable indicators for a patient.
 */
export declare function calculateAll(input: AssessmentInput): Promise<AssessmentResult>;
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