@stdlib/stats-iter-mmax
Create an iterator which iteratively computes a moving maximum value.
Create an iterator which iteratively computes a moving maximum value.
Create an iterator which iteratively computes a moving maximum absolute value.
Create an iterator which iteratively computes a cumulative mid-range.
Create an iterator which iteratively computes a cumulative minimum value.
Create an iterator which iteratively computes a cumulative minimum absolute value.
Create an iterator which iteratively computes a cumulative product.
Create an iterator which iteratively computes a cumulative range.
Compute a variance-to-mean ratio (VMR) incrementally.
Compute a weighted arithmetic mean incrementally.
Create an iterator which iteratively computes a cumulative sum.
Create an iterator which iteratively computes a cumulative sum of absolute values.
Create an iterator which iteratively computes a cumulative sum of squared absolute values.
Compute the maximum value of all iterated values.
Compute the arithmetic mean over all iterated values.
Compute the arithmetic mean of absolute values for all iterated values.
Compute the arithmetic mean of squared absolute values for all iterated values.
Compute the minimum absolute value of all iterated values.
Calculate the standard deviation of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
Calculate the variance of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.
Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm with extended accumulation and returning an extended precision result.