JSPM

Found 28 results for covariance matrix

kalman-filter

Kalman filter (and Extended Kalman Filter) Multi-dimensional implementation in Javascript

  • v2.3.0
  • 80.59
  • Published

compute-pcorr

Computes Pearson product-moment correlation coefficients between one or more numeric arrays.

  • v1.0.0
  • 70.32
  • Published

compute-covariance

Computes the covariance between one or more numeric arrays.

  • v1.0.1
  • 58.12
  • Published

numbers-logic

Tools used to understand or work with numbers in Node.JS, Javascript and derivatives.

  • v1.4.6
  • 48.11
  • Published

online-stats

Online algorithms for data exploration and analysis (piece-by-piece)

  • v1.5.0
  • 36.56
  • Published

@stdlib/stats-incr-mpcorr

Compute a moving sample Pearson product-moment correlation coefficient incrementally.

  • v0.2.2
  • 28.16
  • Published

@stdlib/stats-incr-apcorr

Compute a sample absolute Pearson product-moment correlation coefficient.

  • v0.2.2
  • 27.68
  • Published

@stdlib/stats-incr-mapcorr

Compute a moving sample absolute Pearson product-moment correlation coefficient incrementally.

  • v0.2.2
  • 27.64
  • Published

@stdlib/stats-incr-mpcorr2

Compute a moving squared sample Pearson product-moment correlation coefficient incrementally.

  • v0.2.2
  • 26.35
  • Published

@rjxlab/kalman-filter

Kalman filter (and Extended Kalman Filter) Multi-dimensional implementation in Javascript

  • v2.3.0
  • 24.05
  • Published

flow-pcc

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

  • v0.0.3
  • 22.79
  • Published

@sevthjs/kalman-filter

Kalman filter (and Extended Kalman Filter) Multi-dimensional implementation in Javascript

  • v2.3.0
  • 18.30
  • Published

gencov

generate random covariance matrices, and MVN samples using them.

  • v0.0.1
  • 17.16
  • Published

@seregpie/vector-math

A collection of mathematical functions for working with vectors.

  • v1.8.0
  • 16.57
  • Published

yagnus

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.

  • v0.0.17
  • 15.83
  • Published

lazy-stats

online average, variance, covariance and correlation

  • v4.3.0
  • 11.07
  • Published

flow-covariance

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

  • v0.0.4
  • 7.41
  • Published

@hugov/stats

average, standard deviation, variance, covariance and correlation of data sets

  • v0.0.1
  • 6.56
  • Published

statsbase

An average, variance, covariance and correlation calculator written in TypeScript

    • v1.0.3
    • 0.00
    • Published