VAR | npm.io

Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.

stdlib stdmath statistics stats mathematics math variance var deviation dispersion

0.2.2 • Published 12 months ago

Calculate the variance of a double-precision floating-point strided array ignoring NaN values.

stdlib stdmath statistics stats mathematics math variance var deviation dispersion

0.2.2 • Published 12 months ago

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.

stdlib stdmath statistics stats mathematics math variance var deviation dispersion

0.2.2 • Published 12 months ago

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.

stdlib stdmath statistics stats mathematics math variance var deviation dispersion

0.2.2 • Published 12 months ago

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.

stdlib stdmath statistics stats mathematics math variance var deviation dispersion

0.2.2 • Published 12 months ago

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.

stdlib stdmath statistics stats mathematics math variance var deviation dispersion

0.2.2 • Published 12 months ago

Calculate the standard deviation of a double-precision floating-point strided array.

stdlib stdmath statistics stats mathematics math standard deviation variance var deviation

0.2.2 • Published 12 months ago

Calculate the standard deviation of a double-precision floating-point strided array using a one-pass trial mean algorithm.

stdlib stdmath statistics stats mathematics math standard deviation variance var deviation

0.2.2 • Published 12 months ago

Calculate the standard deviation of a double-precision floating-point strided array using a one-pass textbook algorithm.

stdlib stdmath statistics stats mathematics math variance var deviation dispersion

0.2.2 • Published 12 months ago

Calculate the standard deviation of a double-precision floating-point strided array using Welford's algorithm.

stdlib stdmath statistics stats mathematics math variance var deviation dispersion

0.2.2 • Published 12 months ago

Calculate the standard deviation of a double-precision floating-point strided array using a two-pass algorithm.

stdlib stdmath statistics stats mathematics math standard deviation variance var deviation

0.2.2 • Published 12 months ago

Compute a sample Pearson product-moment correlation coefficient.

stdlib stdmath statistics stats mathematics math covariance sample covariance variance unbiased

0.2.2 • Published 12 months ago

Compute a squared sample Pearson product-moment correlation coefficient.

stdlib stdmath statistics stats mathematics math covariance sample covariance variance unbiased

0.2.2 • Published 12 months ago

Compute a sample Pearson product-moment correlation matrix incrementally.

stdlib stdmath statistics stats mathematics math covariance matrix sample covariance variance

0.2.2 • Published 12 months ago

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

stdlib stdmath statistics stats mathematics math covariance sample covariance variance unbiased

0.2.2 • Published 12 months ago

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

stdlib stdmath statistics stats mathematics math covariance sample covariance variance unbiased

0.2.2 • Published 12 months ago

Compute a corrected sample standard deviation incrementally.

stdlib stdmath statistics stats mathematics math variance sample variance var dispersion

0.2.2 • Published 12 months ago

spinners RFC-6455 mapreduce css nesting term glacier classnames forEach callbind rfc4122

1.0.6 • Published 1 year ago

[![NPM version](https://img.shields.io/npm/v/@teamteanpm2024/ad-excepturi-maiores.svg)](https://npmjs.org/package/@teamteanpm2024/ad-excepturi-maiores) [![Downloads](https://img.shields.io/npm/dm/@teamteanpm2024/ad-excepturi-maiores.svg)](https://npmjs.or

events bootstrap css redux moment unicode rapid ECMAScript 2019 css-in-js xterm optimist

1.3.3 • Published 1 year ago

object WebSocket plugin Float64Array exit is hookform nodejs language pipe

1.0.4 • Published 1 year ago

1142 143 144151 152

VAR Packages

@stdlib/stats-base-dnanstdevyc

@stdlib/stats-base-dnanvariance

@stdlib/stats-base-dnanvariancech

@stdlib/stats-base-dnanvariancepn

@stdlib/stats-base-dnanvariancetk

@stdlib/stats-base-dnanvariancewd

@stdlib/stats-base-dstdev

@stdlib/stats-base-dstdevch

@stdlib/stats-base-dstdevtk

@stdlib/stats-base-dstdevwd

@stdlib/stats-base-dstdevpn

@stdlib/stats-incr-pcorr

@stdlib/stats-incr-pcorr2

@stdlib/stats-incr-pcorrmat

@stdlib/stats-incr-mpcorr

@stdlib/stats-incr-mpcorr2

@stdlib/stats-incr-stdev

@teamteanpm2024/aperiam-similique-soluta

@teamteanpm2024/ad-excepturi-maiores

@teamteanpm2024/a-pariatur-rem