@stdlib/stats-base-dstdevtk
Calculate the standard deviation of a double-precision floating-point strided array using a one-pass textbook algorithm.
0.2.2 • Published 12 months ago
Stats Packages
@stdlib/stats-base-dstdevwd
Calculate the standard deviation of a double-precision floating-point strided array using Welford's algorithm.
@stdlib/stats-base-dsnanmean
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using extended accumulation, and returning an extended precision result.
@stdlib/stats-base-dsnanmeanors
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.
@stdlib/stats-base-dstdevpn
Calculate the standard deviation of a double-precision floating-point strided array using a two-pass algorithm.
@stdlib/stats-base-sminabs
Calculate the minimum absolute value of a single-precision floating-point strided array.
@stdlib/stats-base-sminsorted
Calculate the minimum value of a sorted single-precision floating-point strided array.
@stdlib/stats-base-smskmax
Calculate the maximum value of a single-precision floating-point strided array according to a mask.
@stdlib/stats-base-smskmin
Calculate the minimum value of a single-precision floating-point strided array according to a mask.
@stdlib/stats-base-smskrange
Calculate the range of a single-precision floating-point strided array according to a mask.
@stdlib/stats-base-snanmax
Calculate the maximum value of a single-precision floating-point strided array, ignoring NaN values.
@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-incr-nansumabs2
Compute a sum of squared absolute values incrementally, ignoring NaN values.
@stdlib/stats-incr-pcorr
Compute a sample Pearson product-moment correlation coefficient.
@stdlib/stats-incr-pcorr2
Compute a squared sample Pearson product-moment correlation coefficient.
@stdlib/stats-incr-pcorrdist
Compute a sample Pearson product-moment correlation distance.
@stdlib/stats-incr-pcorrdistmat
Compute a sample Pearson product-moment correlation distance matrix incrementally.