@stdlib/stats-base-smeankbn
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 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.
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 strided array using pairwise summation.
Calculate the arithmetic mean of a strided array using Welford's algorithm.
Calculate the median value of a sorted strided array.
Calculate the minimum value of a strided array.
Calculate the minimum value of a strided array via a callback function.
Calculate the minimum absolute value of a strided array.
Calculate the minimum value of a sorted strided array.
Calculate the maximum value of a strided array according to a mask.
Calculate the minimum value of a strided array according to a mask.
Calculate the arithmetic mean of a strided array using ordinary recursive summation.
Calculate the arithmetic mean of a strided array using a two-pass error correction algorithm.
Function sequence.
Return the prototype of a provided object.
Return the global object.
Group values as arrays associated with distinct keys.
Group values according to an indicator function.