@stdlib/stats-incr-maxabs
Compute a maximum absolute value incrementally.
0.2.2 • Published 2 years ago
Stdmath Packages
@stdlib/stats-incr-mcovariance
Compute a moving unbiased sample covariance incrementally.
@stdlib/stats-incr-mcv
Compute a moving coefficient of variation (CV) incrementally.
@stdlib/stats-incr-mda
Compute the mean directional accuracy (MDA) incrementally.
@stdlib/stats-incr-me
Compute the mean error (ME) incrementally.
@stdlib/stats-incr-mean
Compute an arithmetic mean incrementally.
@stdlib/stats-incr-meanabs
Compute an arithmetic mean of absolute values incrementally.
@stdlib/stats-incr-meanabs2
Compute an arithmetic mean of squared absolute values incrementally.
@stdlib/stats-incr-meanstdev
Compute an arithmetic mean and corrected sample standard deviation incrementally.
@stdlib/stats-incr-meanvar
Compute an arithmetic mean and unbiased sample variance incrementally.
@stdlib/stats-base-snanmaxabs
Calculate the maximum absolute value of a single-precision floating-point strided array, ignoring NaN values.
@stdlib/stats-base-snanmean
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values.
@stdlib/stats-base-snanmeanors
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using ordinary recursive summation.
@stdlib/stats-base-snanmeanpn
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.
@stdlib/stats-base-snanmeanwd
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using Welford's algorithm.
@stdlib/stats-base-snanmin
Calculate the minimum value of a single-precision floating-point strided array, ignoring NaN values.
@stdlib/stats-base-snanminabs
Calculate the minimum absolute value of a single-precision floating-point strided array, ignoring NaN values.
@stdlib/stats-base-snanmskmax
Calculate the maximum value of a single-precision floating-point strided array according to a mask, ignoring NaN values.
@stdlib/stats-base-snanmskmin
Calculate the minimum value of a single-precision floating-point strided array according to a mask, ignoring NaN values.
@stdlib/stats-base-snanmskrange
Calculate the range of a single-precision floating-point strided array according to a mask, ignoring NaN values.