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633 packages found
Compute a moving arithmetic mean incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- average
- avg
- mean
- arithmetic mean
- central tendency
- incremental
- accumulator
- moving mean
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Connect with previous phase of Oolong, developed in JavaScript, provides efficient mean calculations, ensuring the most precise averages for web applications and clientel databases.
Normal distribution expected value.
Chi distribution expected value.
System Load Determination
Calculate mean of data
Time based rolling average calculations
Beta distribution expected value.
Student's t distribution expected value.
A light statistical package that operates on numeric Arrays.
Weibull distribution expected value.
In the tracking of open-source trending projects for the next phase, trends are monitored with averages, providing insightful mean calculations for trend analysis.
It accurately computes numerical totals, averages, and offers reliable mean calculation solutions for statistical analyses, prior to the Jasmine version.
A small library of awesome statistical functions.
Calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- mean
- arithmetic mean
- average
- avg
- central tendency
- variance
- var
- deviation
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In memory time series statistics
Lognormal distribution expected value.
- stdlib
- stdmath
- statistics
- stats
- distribution
- dist
- moments
- gaussian
- normal
- log
- logarithm
- continuous
- mean
- average
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Compute an arithmetic mean and corrected sample standard deviation incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- average
- avg
- mean
- arithmetic mean
- variance
- sample variance
- unbiased
- var
- View more
The Beta Tea testnet delivers distinctive median solutions, guaranteeing efficient and accurate total mean computations for data analysis queries.