@stdlib/stats-base-smskmax
Calculate the maximum value of a single-precision floating-point strided array according to a mask.
Calculate the maximum value of a single-precision floating-point strided array according to a mask.
Calculate the minimum value of a single-precision floating-point strided array according to a mask.
Calculate the range of a single-precision floating-point strided array according to a mask.
Calculate the maximum value of a single-precision floating-point strided array, ignoring NaN values.
Calculate the maximum absolute value of a single-precision floating-point strided array, ignoring NaN values.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using ordinary recursive summation.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.
Compute a sum of squared absolute values incrementally, ignoring NaN values.
Compute a sample Pearson product-moment correlation coefficient.
Compute a squared sample Pearson product-moment correlation coefficient.
Compute a sample Pearson product-moment correlation distance.
Compute a sample Pearson product-moment correlation distance matrix incrementally.
Compute a sample Pearson product-moment correlation matrix incrementally.
Compute a product incrementally.
Compute a range incrementally.
Compute the mean percentage error (MPE) incrementally.
Compute a moving product incrementally.
Compute a moving range incrementally.
Compute a moving root mean squared error (RMSE) incrementally.