als-statistics/tests/golden/tools/cdf.js

Modular JS statistics toolkit for Node.js and the browser: descriptive stats, correlations (Pearson/Spearman/Kendall), t-tests & ANOVA (Student/Welch), reliability (Cronbach’s alpha), regression (linear/logistic), clustering (DBSCAN/HDBSCAN), and table/co

// Дет- кейсы для CDF/PPF. Генерация не нужна: фиксируем набор точек.
import CDF from '../../../lib/analyze/cdf/index.js';

const cases = [
  { dist:'norm', fn:'phi',  args:[-2.0]   },
  { dist:'norm', fn:'phi',  args:[0.0]    },
  { dist:'norm', fn:'phi',  args:[1.5]    },
  { dist:'t',    fn:'t',    args:[2.0, 10] },
  { dist:'t',    fn:'t',    args:[3.0,  5] },
  { dist:'f',    fn:'f',    args:[2.0, 4, 20] },
  { dist:'f',    fn:'f',    args:[5.5, 2, 12] },
];

export const cdfTool = {
  id: 'cdf',
  cases: cases.length,
  gen(seed, i) { return cases[i]; },
  compute(c) {
    if (c.fn === 'phi') return { y: CDF.phi(c.args[0]) };
    if (c.fn === 't')   return { y: CDF.t(c.args[0], c.args[1]) };
    if (c.fn === 'f')   return { y: 1 - CDF.f(c.args[0], c.args[1], c.args[2]) /* правохвост */ };
    throw new Error('unknown cdf case');
  },
  compare(exp, got, approx) { approx(got.y, exp.y); },
};