regression-js
A JavaScript library for linear least-squares curve fitting and regression analysis.
What is regression-js?
regression-js is a JavaScript library that performs curve fitting and regression analysis using linear least-squares methods. It allows developers to fit data to various mathematical models, such as linear, exponential, logarithmic, power, and polynomial curves, to analyze trends and make predictions. The library provides statistical metrics like R² to evaluate model accuracy and a prediction function for forecasting values.
JavaScript developers, data scientists, and analysts who need to perform simple regression analysis directly in the browser or Node.js without relying on heavy statistical packages. It's ideal for applications involving data visualization, scientific computing, or educational tools.
Developers choose regression-js for its lightweight, dependency-free design and straightforward API that covers common regression types. It offers a practical solution for quick data fitting with built-in statistical evaluation, making it easier to integrate regression capabilities into web or Node.js projects compared to more complex libraries.
Overview
Curve Fitting in JavaScript.
Use Cases
Best For
- Performing linear regression on datasets in a web application
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