Introduction

I am developing rStats.js , an open-source library for performing statistical analysis in JavaScript.

My goal is to make it easy to access numerically accurate and statistically sound statistical computations from within JavaScript applications.

JavaScript is used not only in web browsers but also in a wide range of other environments, such as Node.js. Meanwhile, R and Python are the dominant languages ​​in the field of statistical analysis; I felt that the options for performing robust statistical computing in JavaScript still had significant room for improvement.

Consequently, I decided to develop a JavaScript library that focuses not just on implementing statistical methods, but also on the precision of numerical calculations and the validity of the underlying algorithms.

Why Develop My Own Instead of Using Existing Statistical Libraries?

There are already several statistical libraries available for JavaScript.…