Mean Packages

Compute the mean absolute percentage error (MAPE) incrementally.

Compute a moving coefficient of variation (CV) incrementally.

Compute the mean directional accuracy (MDA) incrementally.

Compute the mean error (ME) incrementally.

Compute an arithmetic mean incrementally.

Compute an arithmetic mean of absolute values incrementally.

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

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

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

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

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

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

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

Calculate the mid-range of a double-precision floating-point strided array.

Weibull distribution expected value.

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

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

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

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

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