Accumulator Packages

Incrementally partition data into `k` clusters.

Apply a function against an accumulator and each element in an array and return the accumulated result.

Apply a function against an accumulator and each element in an array while iterating from right to left and return the accumulated result.

Reduce the number of dimensions by one of a two-dimensional nested array by applying a function against an accumulator and each element along the innermost dimension and returning the accumulation results as a one-dimensional array.

Compute an arithmetic mean of squared absolute values incrementally.

Compute an arithmetic mean and corrected sample standard deviation incrementally.

Compute an arithmetic mean and unbiased sample variance incrementally.

Compute a moving geometric mean incrementally.

Moving Grubbs' test for outliers.

Compute a moving harmonic mean incrementally.

Compute a mid-range incrementally.

Compute a minimum value incrementally.

Compute a minimum absolute value incrementally.

Compute a minimum and maximum incrementally.

Compute minimum and maximum absolute values incrementally.

Incremental statistics.

Compute a sample absolute Pearson product-moment correlation coefficient.

Compute a count incrementally.

Compute a moving arctangent mean absolute percentage error (MAAPE) incrementally.

Compute a moving mean absolute error (MAE) incrementally.