27 packages found
Computes Pearson product-moment correlation coefficients between one or more numeric arrays.
- compute.io
- compute
- computation
- mathematics
- math
- statistics
- stats
- variance
- covariance
- sample
- population
- covariance matrix
- cov
- var
- View more
Computes the covariance between one or more numeric arrays.
- compute.io
- compute
- computation
- mathematics
- math
- statistics
- stats
- variance
- covariance
- sample
- covariance matrix
- cov
- var
- dispersion
- View more
Tools used to understand or work with numbers in Node.JS, Javascript and derivatives.
- number
- numbers
- math
- theory
- abundant
- adaptive simpson
- addition
- affine
- arithmetic
- basic
- bates
- binomial
- box muller
- box muller transform
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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.
- stats
- statistics
- analytics
- univariate
- multivariate
- discrete
- mean
- variance
- standard deviation
- unbiased
- constant time
- constant space
- fixed space
- efficient
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Reduce transform stream which calculates the covariance of streamed numeric data.
A collection of distance and similarity metrics written in pure JS
- distance
- siilarity
- metric
- person
- euclidian
- manhattan
- supermis
- correlation
- cosine
- mahalanobis
- dice
- minkowski
- chi-square
- jaccard coefficients
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Reduce transform stream which calculates the Pearson product-moment correlation coefficient matrix of streamed numeric data.
- stream
- writable
- readable
- transform
- flow
- flow.io
- covariance
- correlation
- linear correlation
- pearson product moment correlation coefficient
- variance
- multivariate
- reduce
- statistics