Introduction

When performing statistical analysis in JavaScript, one of the primary concerns is: "Can the calculation results truly be trusted?" In scenarios such as the tails of probability distributions, cases involving extremely large parameters, or instances with infinitesimal probabilities, the choice of numerical computation method can lead to significant discrepancies in the results.

To address this challenge directly, I am developing rStats.js , a statistical computation library for JavaScript. In this project, I use R as a key benchmark to continuously verify the accuracy of these statistical calculations.

In this article, I will explain the methodology used to compare rStats.js against R, as well as the level of precision I aim to achieve.

1. Automated Verification Against R 4.6.2

In rStats.js, the general policy is to compare every public-facing function against R version 4.6.2.…