JSPM

JavaScript stats library containing parallel distributed streaming algorithms to compute important frequently used statistics on big data. The library calculates commonly used univariate, multivariate and discrete statistics. It can be used alone in a webpage, or server-side in nodejs (or both since mss's can be merged), or within a big-data no-sql engines such as hadoop, mongodb.

maximize an n-dimensional landscape using the battleship search algorithm

Index arithmetic for symmetric tensors

polymer elements for multivariate analysis (depend on crossfilter, universe, reductio, multi-geo and multi-chart)

A/B and multivariate testing for redux.

lit-element elements for multivariate analysis (depend on crossfilter, universe, reductio, multichart and multiverse)

Reduce transform stream which calculates the covariance of streamed numeric data.

Reduce transform stream which calculates the Pearson product-moment correlation coefficient matrix of streamed numeric data.

A js library to embed the Tweeker embed script

Port of NumPy's random.multivariate_normal to Node.JS

#### Example Usage: ```javascript import {ExperimentProvider, Experiment, Variant} from "nextjs-ssr-experiment";