Arithmetic mean Packages

Provides a method to compute a moving arithmetic mean incrementally.

Provides a method to compute an arithmetic mean incrementally.

Computes the arithmetic mean over an array of values ignoring any values which are not numeric.

An ever updating average of the last n values.

Method to compute an arithmetic mean incrementally

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.

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 error (ME) incrementally.

Compute an arithmetic mean incrementally.

Compute an arithmetic mean of absolute values incrementally.

Compute an arithmetic mean and corrected sample standard deviation incrementally.

Compute an arithmetic mean and unbiased sample variance incrementally.