npm install @tpmjs/tools-multiple-testing-adjust

import { multipleTestingAdjustTool } from '@tpmjs/tools-multiple-testing-adjust';

// Use with AI SDK
const result = await multipleTestingAdjustTool.execute({
  pValues: [0.001, 0.02, 0.03, 0.15, 0.8],
  method: 'bh', // 'bonferroni', 'bh', or 'holm'
  alpha: 0.05,
});

console.log(result);
// {
//   adjusted: [0.005, 0.05, 0.05, 0.1875, 0.8],
//   significant: [0, 1, 2],  // Indices of significant tests
//   method: 'bh',
//   alpha: 0.05,
//   metadata: {
//     totalTests: 5,
//     significantCount: 3,
//     originalSignificant: 3
//   }
// }

{
  adjusted: number[];        // Adjusted p-values in original order
  significant: number[];     // Indices of tests that remain significant
  method: string;            // Method used
  alpha: number;             // Significance level
  metadata: {
    totalTests: number;
    significantCount: number;      // Count after adjustment
    originalSignificant: number;   // Count before adjustment
  }
}

const pValues = [0.001, 0.01, 0.02, 0.03, 0.05, 0.1];

// Bonferroni (most strict)
const bonf = await multipleTestingAdjustTool.execute({
  pValues,
  method: 'bonferroni',
});
// significant: [0] - only the smallest p-value survives

// Holm (moderate)
const holm = await multipleTestingAdjustTool.execute({
  pValues,
  method: 'holm',
});
// significant: [0, 1] - two tests survive

// BH (least strict)
const bh = await multipleTestingAdjustTool.execute({
  pValues,
  method: 'bh',
});
// significant: [0, 1, 2, 3] - four tests survive