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 URL: https://unpkg.com/yagnus@0.0.17/yagnus.js
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statsstatisticsanalyticsunivariatemultivariatediscretemeanvariancestandard deviationunbiasedconstant timeconstant spacefixed spaceefficientfastawesomecoolskewnesskurtosiscontingency tablemultidimensionalcounterPearsoncorrelationcovariancecoskewcokurtosiscovariance matrixaggregationmapreducenodemongodbjavascriptserverclientbrowserbig databig-dataparalleldistributedstreamingmassivehumoungousfunctionalmedianminminimummaxmaximumquantilequartileorder statisticsstatisticorder statsminimum sufficient statisticsmssaveragestablesamplingsamplerreservoir samplingsketchprobablistic data structuretime seriesARIMAIMAMarkov ChainMonte CarloMCMCsufficient intermediatescontinuousnominalcategoricalmonoidgroupsemi-groupalgebratransitiveassociativedistributiveidentityclosureinversesliding window