Predict future values with a simple but powerful linear regression algorithm, with JavaScript and TypeScript!
Calculate statistical regressions for two-dimensional data
Simple Linear Regression
Multivariate linear regression
Regression algorithms
Javascript least squares data fitting methods
This allows you to add regression lines to any series. Supports: linear, polynomial, logarithmic, exponential and loess. Calculates the r-value
Regression transform for Vega dataflows.
The Linear Client SDK for interacting with the Linear GraphQL API
GPU Javascript Library for Machine Learning
Use the display-p3-linear color space on the color() function in CSS
A <LinearGradient> element for React Native
Fit a model to noisy data by excluding outliers. This is an implementation of the RANSAC algorithm.
Base class for regression modules
Statistical routines and probability distributions.
Provides a React component that renders a gradient view.
A library to find JS RegExp with super-linear worst-case time complexity for attack strings that repeat a single character.
Module for adding visual regression testing to Cypress
Polynomial Regression
Use double-position gradients in CSS
Power regression
The Material Components for the web linear progress indicator component
Exponential Regression
calculation of a linear regression