A javascript library that predicts dependent variables using polynomial regression.
Polynomial Regression
Robust polynomial regression using LMedS
Polynomial Regression 2D
Calculate statistical regressions for two-dimensional data
Regression algorithms
This allows you to add regression lines to any series. Supports: linear, polynomial, logarithmic, exponential and loess. Calculates the r-value
Savitzky–Golay filter in Javascript
JavaScript/TypeScript library for multivariate polynomial regression.
Module for adding visual regression testing to Cypress
Regression transform for Vega dataflows.
Evaluate a polynomial using double-precision floating-point arithmetic.
The polynomial kernel
Iterative regression based baseline correction
A class of simple polynomial functionality including root finding
Simple Linear Regression
Javascript least squares data fitting methods
Base class for regression modules
Interpolation and extrapolation library
Model generator based on the method of least squares.
Exponential Regression
A library to find JS RegExp with super-linear worst-case time complexity for attack strings that repeat a single character.
Power regression
Multivariate linear regression