Calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm with extended accumulation and returning an extended precision result.

@stdlib/stats-base-dists-rayleigh-mean

Rayleigh distribution expected value.

@stdlib/stats-base-dnanmeanors

Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using ordinary recursive summation.

@stdlib/stats-base-dmeanlipw

Calculate the arithmetic mean of a double-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.

@stdlib/stats-base-meanors

Calculate the arithmetic mean of a strided array using ordinary recursive summation.

@stdlib/stats-base-dmeanpw

Calculate the arithmetic mean of a double-precision floating-point strided array using pairwise summation.

@stdlib/stats-base-dmeanwd

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

@stdlib/stats-base-dmean

Calculate the arithmetic mean of a double-precision floating-point strided array.

@stdlib/stats-base-dnanmean

Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values.

@stdlib/stats-base-dmeanstdevpn

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

@stdlib/stats-base-meanpw

Calculate the arithmetic mean of a strided array using pairwise summation.

@stdlib/stats-base-dmeanors

Calculate the arithmetic mean of a double-precision floating-point strided array using ordinary recursive summation.

@stdlib/stats-base-dsnanmean

Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using extended accumulation, and returning an extended precision result.

@stdlib/stats-base-meankbn2

Calculate the arithmetic mean of a strided array using a second-order iterative Kahan–Babuška algorithm.

@stdlib/stats-incr-mean

Compute an arithmetic mean incrementally.

@stdlib/stats-base-dnanmeanwd

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

@stdlib/stats-base-dmeanvarpn

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

@stdlib/stats-base-meanwd

Calculate the arithmetic mean of a strided array using Welford's algorithm.

@stdlib/stats-base-meankbn

Calculate the arithmetic mean of a strided array using an improved Kahan–Babuška algorithm.

@stdlib/stats-base-dsnanmeanors

Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.

@stdlib/stats-base-nanmeanpn

Calculate the arithmetic mean of a strided array, ignoring NaN values and using a two-pass error correction algorithm.

@stdlib/stats-base-dsnanmeanpn

Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using a two-pass error correction algorithm with extended accumulation, and returning an extended precision result.

@stdlib/stats-base-dnanmeanpn

Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.

@stdlib/stats-base-dists-weibull-mean

Weibull distribution expected value.

@stdlib/stats-base-dsmean

Calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.

@stdlib/stats-base-dsmeanpw

Calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation with extended accumulation and returning an extended precision result.

smath

Small math function library

@stdlib/stats-base-dmeankbn2

Calculate the arithmetic mean of a double-precision floating-point strided array using a second-order iterative Kahan–Babuška algorithm.

solverjs

This package is a combination of many useful functions.

@stdlib/stats-base-dmeanvar

Calculate the mean and variance of a double-precision floating-point strided array.

@stdlib/stats-base-nanmean

Calculate the arithmetic mean of a strided array, ignoring NaN values.

@stdlib/stats-base-dsnanmeanwd

Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using Welford's algorithm with extended accumulation, and returning an extended precision result.

@stdlib/stats-base-dsmeanors

Calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation with extended accumulation and returning an extended precision result.

@stdlib/stats-base-dnanmeanpw

Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using pairwise summation.

@stdlib/stats-base-dsmeanpn

Calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm with extended accumulation and returning an extended precision result.

@stdlib/stats-base-nanmeanors

Calculate the arithmetic mean of a strided array, ignoring NaN values and using ordinary recursive summation.

@stdlib/stats-base-nanmeanwd

Calculate the arithmetic mean of a strided array, ignoring NaN values and using Welford's algorithm.

node-red-contrib-prib-functions

Node-RED added node functions.

turf-average

turf average module

@stdlib/stats-base-dists-exponential-mean

Exponential distribution expected value.

efficient-rolling-stats

efficient rolling stats added one by one with no recalculation

@stdlib/stats-base-smediansorted

Calculate the median value of a sorted single-precision floating-point strided array.

@stdlib/stats-base-smeankbn

Calculate the arithmetic mean of a single-precision floating-point strided array using an improved Kahan–Babuška algorithm.

@stdlib/stats-base-smeanpw

Calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation.

@stdlib/stats-base-smeanpn

Calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.

node-red-contrib-average

A Node-RED node to calculate average.

@stdlib/stats-base-smean

Calculate the arithmetic mean of a single-precision floating-point strided array.

@stdlib/stats-base-dists-f-mean

F distribution expected value.

@stdlib/stats-base-smeankbn2

Calculate the arithmetic mean of a single-precision floating-point strided array using a second-order iterative Kahan–Babuška algorithm.

@stdlib/stats-base-smeanli

Calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm.

sma

Calculate the simple moving average of an array.

compute-nanmedian

Computes the median of an array ignoring non-numeric values.

@stdlib/stats-base-sdsmean

Calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation.

@stdlib/stats-base-sdsnanmean

Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using extended accumulation.

@stdlib/stats-base-snanmeanwd

Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using Welford's algorithm.

@stdlib/stats-base-snanmean

Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values.

@stdlib/stats-incr-mmean

Compute a moving arithmetic mean incrementally.

@stdlib/stats-base-dists-erlang-mean

Erlang distribution expected value.

@stdlib/stats-base-dmeankbn

Calculate the arithmetic mean of a double-precision floating-point strided array using an improved Kahan–Babuška algorithm.

compute-incrmean

Provides a method to compute an arithmetic mean incrementally.

@stdlib/stats-incr-gmean

Compute a geometric mean incrementally.

compute-truncmean

Computes the truncated mean of an array.

compute-mean

Computes the arithmetic mean.

@stdlib/stats-base-smeanors

Calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation.

@stdlib/stats-base-smeanlipw

Calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.

@stdlib/stats-base-sdsmeanors

Calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation with extended accumulation.

@stdlib/stats-base-sdsnanmeanors

Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using ordinary recursive summation with extended accumulation.

@stdlib/stats-base-dists-chi-mean

Chi distribution expected value.

@stdlib/stats-base-smeanwd

Calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.

@stdlib/stats-iter-mean

Compute the arithmetic mean over all iterated values.

@stdlib/stats-incr-mme

Compute a moving mean error (ME) incrementally.

@stdlib/stats-base-dists-kumaraswamy-mean

Kumaraswamy's double bounded distribution expected value.

@stdlib/stats-base-snanmeanors

Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using ordinary recursive summation.

@stdlib/stats-incr-mape

Compute the mean absolute percentage error (MAPE) incrementally.

array-means

Calculates various averages of an array

@stdlib/stats-incr-meanstdev

Compute an arithmetic mean and corrected sample standard deviation incrementally.

@stdlib/stats-incr-mmeanvar

Compute a moving arithmetic mean and unbiased sample variance incrementally.

@stdlib/stats-incr-ewmean

Compute an exponentially weighted mean incrementally.

@stdlib/stats-incr-hmean

Compute a harmonic mean incrementally.

@stdlib/stats-incr-meanvar

Compute an arithmetic mean and unbiased sample variance incrementally.

@stdlib/stats-base-dists-arcsine-median

Arcsine distribution median.

@stdlib/stats-base-dists-discrete-uniform-mean

Discrete uniform distribution expected value.

@stdlib/stats-incr-mgmean

Compute a moving geometric mean incrementally.

@stdlib/stats-base-dists-arcsine-mean

Arcsine distribution expected value.

@stdlib/stats-base-snanmeanpn

Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.

@stdlib/stats-incr-mae

Compute the mean absolute error (MAE) incrementally.

@stdlib/stats-base-dists-betaprime-mean

Beta prime distribution expected value.

@stdlib/stats-base-dists-pareto-type1-mean

Pareto (Type I) distribution expected value.

@stdlib/stats-base-dists-invgamma-mean

Inverse gamma distribution expected value.

@stdlib/stats-base-dists-geometric-mean

Geometric distribution expected value.

@stdlib/stats-incr-mda

Compute the mean directional accuracy (MDA) incrementally.

@stdlib/stats-base-dists-cosine-mean

Raised cosine distribution expected value.

@stdlib/stats-incr-meanabs2

Compute an arithmetic mean of squared absolute values incrementally.

@stdlib/stats-base-dists-levy-mean

Lévy distribution expected value.

@stdlib/stats-incr-mmae

Compute a moving mean absolute error (MAE) incrementally.

@stdlib/stats-base-dists-gamma-mean

Gamma distribution expected value.

@stdlib/stats-base-dists-degenerate-mean

Degenerate distribution expected value.

@stdlib/stats-base-dists-logistic-mean

Logistic distribution expected value.

@stdlib/stats-base-dists-frechet-mean

Fréchet distribution expected value.

@stdlib/stats-base-dists-bernoulli-mean

Bernoulli distribution expected value.

@stdlib/stats-base-dists-laplace-mean

Laplace distribution expected value.

@stdlib/stats-base-dists-gumbel-mean

Gumbel distribution mean.

@stdlib/stats-incr-mhmean

Compute a moving harmonic mean incrementally.

@stdlib/stats-incr-mmaape

Compute a moving arctangent mean absolute percentage error (MAAPE) incrementally.

@stdlib/stats-incr-mmeanstdev

Compute a moving arithmetic mean and corrected sample standard deviation incrementally.

@stdlib/stats-incr-me

Compute the mean error (ME) incrementally.

@stdlib/stats-incr-mmpe

Compute a moving mean percentage error (MPE) incrementally.

@stdlib/stats-incr-mmda

Compute a moving mean directional accuracy (MDA) incrementally.

aggregate_groupby_js

The javascript library for using aggregate functions on array of objects

@stdlib/stats-incr-mmeanabs

Compute a moving arithmetic mean of absolute values incrementally.

@stdlib/stats-incr-maape

Compute the mean arctangent absolute percentage error (MAAPE) incrementally.

@stdlib/stats-incr-mpe

Compute the mean percentage error (MPE) incrementally.

@stdlib/stats-incr-mmape

Compute a moving mean absolute percentage error (MAPE) incrementally.

@stdlib/stats-incr-mmeanabs2

Compute a moving arithmetic mean of squared absolute values incrementally.

@stdlib/stats-incr-meanabs

Compute an arithmetic mean of absolute values incrementally.

bigine

DaHao.de 播放引擎（TypeScript 版）

mpony

mpony - find the min, max, avg or sum of numbers in an array

@stdlib/stats-iter-meanabs2

Compute the arithmetic mean of squared absolute values for all iterated values.

@stdlib/stats-incr-wmean

Compute a weighted arithmetic mean incrementally.

@stdlib/stats-iter-cuhmean

Create an iterator which iteratively computes a cumulative harmonic mean.

@stdlib/stats-iter-cumeanabs

Create an iterator which iteratively computes a cumulative arithmetic mean of absolute values.

groupjs_by

The Javascript library used for aggregate on array of objects

fs-slice

slice file or join files or avg slice file.

apl-custom-fonts

Converts Text to AVG at runtime for easy use with the Alexa Presentation Language

@stdlib/stats-iter-cumeanabs2

Create an iterator which iteratively computes a cumulative arithmetic mean of squared absolute values.

@stdlib/stats-iter-cugmean

Create an iterator which iteratively computes a cumulative geometric mean.

@stdlib/stats-iter-cumean

Create an iterator which iteratively computes a cumulative arithmetic mean.

@stdlib/stats-iter-mmean

Create an iterator which iteratively computes a moving arithmetic mean.

simple-moving-avg

Calculate the simple moving average for an array.

math-foreach

Simple Array Math Library

@stdlib/stats-iter-meanabs

Compute the arithmetic mean of absolute values for all iterated values.

stream-total

total for stream json object

svgtoavg-cli

A simple command-line tool to convert SVG file to AVG (Alexa Presentation Language)

@stdlib/stats-iter-mmeanabs2

Create an iterator which iteratively computes a moving arithmetic mean of squared absolute values.

@stdlib/stats-iter-mmeanabs

Create an iterator which iteratively computes a moving arithmetic mean of absolute values.

@zhangjq12/avg-disable-devtool

avg disable devtool(private)

deborah-arrays-operations

Perform different actions with arrays.

average-array-objects

Simple calculation of average values for an array of objects

cal-sum-avg-mode-medium-range-and-more

Now, you can calculate the sum, average, mode, median, range, variance, and standard deviation for the given array of numbers.

flow-cmean

Transform stream factory to calculate arithmetic means for streamed data arrays (chunks).