Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution.

A high-performance library for generating normal distribution random numbers (mean=0, customizable standard deviation) with support for ESM, CJS, and IIFE formats.

A JavaScript model of a Gaussian distribution

Measures patterns of attribute values associated with features. Reveals whether similar values tend to occur near each other, or whether high or low values are interspersed

A function to generate random numbers based on a normal distribution

A collection of probability distribution functions

Generate random variables from a variety of probability distributions. Includes tools to shuffle an array or sample from it.

Normally distributed pseudorandom numbers.

Font files for the Inter font family.

TypeScript definitions for random-normal

TypeScript definitions for multivariate-normal

A normal distribution chart. For React.

javascript implementation of Dunning's T-Digest for streaming quantile approximation

Javascript Implementation of Statistical R standalone library rnmath

A/B test analysis in Javascript

Quadrat analysis lays a set of equal-size areas(quadrat) over the study area and counts the number of features in each quadrat and creates a frequency table.

Smallest positive double-precision floating-point normal number.

Degenerate distribution cumulative distribution function (CDF).

A TypeScript model of a Gaussian distribution

Gamma distribution cumulative distribution function (CDF).