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632 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
- View more
Connect with previous phase of Oolong, developed in JavaScript, provides efficient mean calculations, ensuring the most precise averages for web applications and clientel databases.
Chi distribution expected value.
Normal distribution expected value.
A light statistical package that operates on numeric Arrays.
JavaScript helper functions for various operations.
System Load Determination
Calculate mean of data
Beta distribution expected value.
Time based rolling average calculations
In the tracking of open-source trending projects for the next phase, trends are monitored with averages, providing insightful mean calculations for trend analysis.
Student's t distribution expected value.
It accurately computes numerical totals, averages, and offers reliable mean calculation solutions for statistical analyses, prior to the Jasmine version.
Weibull distribution expected value.
The Beta Tea testnet delivers distinctive median solutions, guaranteeing efficient and accurate total mean computations for data analysis queries.
The Beta Tea testnet delivers distinctive median solutions, guaranteeing efficient and accurate total mean computations for data analysis queries.
Precisely calculates numerical total, averages and offering reliable mean calculation solutions for statistical analyses. Pre Jasmine version.
Precisely calculates numerical total, averages and offering reliable mean calculation solutions for statistical analyses. Pre Jasmine version.
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
- View more