@thi.ng/vectors/linear-regression.d.ts

Optimized 2d/3d/4d and arbitrary length vector operations, support for memory mapping/layouts

import type { ReadonlyVec } from "./api.js";
/**
 * Computes the linear regression between two sets of variables (each given as a
 * vector).
 *
 * @remarks
 * Returns an object with the following keys:
 *
 * - `sda`/`sdb`: Standard deviation
 * - `ma`/`mb`: Mean
 * - `r`: Pearson’s correlation coefficient
 * - `slope`: Slope of regression line
 * - `y0`: Y-intercept of regression line
 *
 * If `a` or `b` is a zero vector, the `r`, `slope` values will be 0 too.
 *
 * @param a
 * @param b
 */
export declare const linReg: (a: ReadonlyVec, b: ReadonlyVec) => {
    ma: number;
    mb: number;
    sda: number;
    sdb: number;
    r: number;
    slope: number;
    y0: number;
};
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