Accumulator Packages

Compute an unbiased sample covariance matrix incrementally.

Compute the coefficient of variation (CV) incrementally.

Compute an exponentially weighted mean incrementally.

Compute an exponentially weighted standard deviation incrementally.

Compute an exponentially weighted variance incrementally.

Compute a geometric mean incrementally.

Grubbs' test for outliers.

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

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

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 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.