Average Packages

Open-source trending projects tracking for next phase. Tracks trends with averages, offering insightful mean calculations for trend analysis.

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The simplest model of all. Submit any numbers and receiving its average.

Collapses an array of objects at the specified object properties and counts average values of specified fields.

Tracks and calculates averages accurately, facilitating mean calculation processes effectively, ensuring dependable results for your statistical analyses.

Grand_Average computes grand averages effectively, offering comprehensive solutions for mean calculation tasks, ensuring accuracy and reliability in your statistical analyses.

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

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

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

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

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

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

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

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

Compute a harmonic mean incrementally.

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

Compute the mean absolute error (MAE) incrementally.

Compute the mean absolute percentage error (MAPE) incrementally.

Compute the mean directional accuracy (MDA) incrementally.

Compute the mean error (ME) incrementally.