@stdlib/stats-base-snanmskmax
Calculate the maximum value of a single-precision floating-point strided array according to a mask, ignoring NaN values.
Calculate the maximum value of a single-precision floating-point strided array according to a mask, ignoring NaN values.
Calculate the minimum value of a single-precision floating-point strided array according to a mask, ignoring NaN values.
Calculate the standard deviation of a single-precision floating-point strided array using a two-pass algorithm.
Calculate the standard deviation of a single-precision floating-point strided array using a one-pass textbook algorithm.
Calculate the standard deviation of a single-precision floating-point strided array using Welford's algorithm.
Calculate the standard deviation of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
Calculate the standard deviation of a strided array.
Calculate the standard deviation of a strided array using a one-pass trial mean algorithm.
Calculate the standard deviation of a strided array using a two-pass algorithm.
Calculate the standard deviation of a strided array using a one-pass textbook algorithm.
Calculate the standard deviation of a strided array using Welford's algorithm.
Calculate the standard deviation of a strided array using a one-pass algorithm proposed by Youngs and Cramer.
Calculate the variance of a single-precision floating-point strided array.
Calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.
Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.
Calculate the variance of a single-precision floating-point strided array using a one-pass textbook algorithm.
Apply a unary function to a single-precision floating-point strided input array and assign results to a single-precision floating-point strided output array.
Apply a binary function to single-precision floating-point strided input arrays and assign results to a single-precision floating-point strided output array.
Apply a unary function to a single-precision floating-point strided input array according to a strided mask array and assign results to a single-precision floating-point strided output array.
Apply a binary function to single-precision floating-point strided input arrays according to a strided mask array and assign results to a single-precision floating-point strided output array.