@stdlib/stats-base-dvariancech
Calculate the variance of a double-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/stats-base-svariancewd
Calculate the variance of a single-precision floating-point strided array using Welford's algorithm.
@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-svariancech
Calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/stats-base-dstdevwd
Calculate the standard deviation of a double-precision floating-point strided array using Welford's algorithm.
@stdlib/stats-base-dnanstdevch
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
@stdlib/blas-ext-base-gapxsumkbn2
Add a constant to each strided array element and compute the sum using a second-order iterative Kahan–Babuška algorithm.
@stdlib/stats-base-dsemch
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/stats-base-dstdevch
Calculate the standard deviation of a double-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/stats-base-snanstdevch
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
@stdlib/stats-base-sstdevyc
Calculate the standard deviation of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/blas-ext-base-sapxsumkbn2
Add a constant to each single-precision floating-point strided array element and compute the sum using a second-order iterative Kahan–Babuška algorithm.
@stdlib/stats-base-dsemwd
Calculate the standard error of the mean for a double-precision floating-point strided array using Welford's algorithm.
@stdlib/stats-base-snanstdevyc
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-dnanstdevwd
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
@stdlib/stats-base-nanstdevyc
Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-dnanstdevpn
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
@stdlib/stats-base-dsvariancepn
Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm with extended accumulation and returning an extended precision result.
@stdlib/stats-base-sstdevwd
Calculate the standard deviation of a single-precision floating-point strided array using Welford's algorithm.
@stdlib/stats-base-snanstdevwd
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
@stdlib/blas-ext-base-snansumkbn2
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using a second-order iterative Kahan–Babuška algorithm.
@stdlib/stats-base-svariancetk
Calculate the variance of a single-precision floating-point strided array using a one-pass textbook algorithm.
@stdlib/blas-ext-base-gcusumpw
Calculate the cumulative sum of strided array elements using pairwise summation.
@stdlib/stats-base-snanvarianceyc
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/blas-ext-base-snansumkbn
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using an improved Kahan–Babuška algorithm.
@stdlib/stats-base-dnanstdevtk
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
stats-base-smeanli
Calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/stats-base-smeanpw
Calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation.
stats-base-dvariancewd
Calculate the variance of a double-precision floating-point strided array using Welford's algorithm.
stats-base-snanvariancech
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
stats-base-nanvariancech
Calculate the variance of a strided array ignoring NaN values and using a one-pass trial mean algorithm.
stats-base-nanstdevwd
Calculate the standard deviation of a strided array ignoring NaN values and using Welford's algorithm.
stats-base-snanvariancewd
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
@stdlib/stats-base-dmin
Calculate the minimum value of a double-precision floating-point strided array.
@stdlib/stats-base-mediansorted
Calculate the median value of a sorted strided array.
@stdlib/stats-base-svariance
Calculate the variance of a single-precision floating-point strided array.
@stdlib/stats-base-nanvariance
Calculate the variance of a strided array ignoring NaN values.
@stdlib/blas-ext-base-dssum
Calculate the sum of single-precision floating-point strided array elements using extended accumulation and returning an extended precision result.
@stdlib/blas-ext-base-gsumors
Calculate the sum of strided array elements using ordinary recursive summation.
@stdlib/blas-ext-base-ssum
Calculate the sum of single-precision floating-point strided array elements.
@stdlib/blas-ext-base-dapxsum
Adds a constant to each double-precision floating-point strided array element and computes the sum.
@stdlib/blas-ext-base-dsumors
Calculate the sum of double-precision floating-point strided array elements using ordinary recursive summation.
@stdlib/stats-base-sminabs
Calculate the minimum absolute value of a single-precision floating-point strided array.
@stdlib/blas-ext-base-ssumors
Calculate the sum of single-precision floating-point strided array elements using ordinary recursive summation.
@stdlib/blas-ext-base-gcusum
Calculate the cumulative sum of strided array elements.
@stdlib/stats-base-dsmeanors
Calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation with extended accumulation and returning an extended precision result.
@stdlib/stats-base-snanrange
Calculate the range of a single-precision floating-point strided array, ignoring NaN values.
@stdlib/stats-base-nanmean
Calculate the arithmetic mean of a strided array, ignoring NaN values.
@stdlib/blas-ext-base-sdsapxsum
Adds a constant to each single-precision floating-point strided array element and computes the sum using extended accumulation.
@stdlib/blas-ext-base-dsum
Calculate the sum of double-precision floating-point strided array elements.
@stdlib/stats-base-dnanmean
Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values.
@stdlib/stats-base-dsvariance
Calculate the variance of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.
@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/blas-ext-base-scusum
Calculate the cumulative sum of single-precision floating-point strided array elements.
@stdlib/stats-base-dcumax
Calculate the cumulative maximum of double-precision floating-point strided array elements.
@stdlib/stats-base-dmax
Calculate the maximum value of a double-precision floating-point strided array.
@stdlib/blas-ext-base-dssumors
Calculate the sum of single-precision floating-point strided array elements using ordinary recursive summation with extended accumulation and returning an extended precision result.
@stdlib/stats-base-dnanrange
Calculate the range of a double-precision floating-point strided array, ignoring NaN values.
stats-base-nanmskrange
Calculate the range of a strided array according to a mask, ignoring NaN values.
stats-base-mskrange
Calculate the range of a strided array according to a mask.
@stdlib/blas-ext-base-sdsnansum
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using extended accumulation.
@stdlib/stats-base-nanmin-by
Calculate the minimum value of a strided array via a callback function, ignoring NaN values.
@stdlib/blas-ext-base-snansum
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values.
@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-mskmin
Calculate the minimum value of a strided array according to a mask.
@stdlib/stats-base-nanrange-by
Calculate the range of a strided array via a callback function, ignoring NaN values.
@stdlib/stats-base-nanrange
Calculate the range of a strided array, ignoring NaN values.
@stdlib/blas-ext-base-dsnansumors
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.
@stdlib/blas-ext-base-sapxsum
Adds a constant to each single-precision floating-point strided array element and computes the sum.
@stdlib/blas-ext-base-dnannsum
Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values.
@stdlib/blas-ext-base-dnannsumors
Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values and using ordinary recursive summation.
@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-nanminabs
Calculate the minimum absolute value of a strided array, ignoring NaN values.
@stdlib/blas-ext-base-gcusumors
Calculate the cumulative sum of strided array elements using ordinary recursive summation.
@stdlib/stats-base-dnanmaxabs
Calculate the maximum absolute value of a double-precision floating-point strided array, ignoring NaN values.
@stdlib/stats-base-nanmskmax
Calculate the maximum value of a strided array according to a mask, ignoring NaN values.
@stdlib/stats-base-snanvariance
Calculate the variance of a single-precision floating-point strided array ignoring NaN values.
stats-base-snanmean
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values.
@stdlib/stats-base-smaxabs
Calculate the maximum absolute value of a single-precision floating-point strided array.
@stdlib/stats-base-meanors
Calculate the arithmetic mean of a strided array using ordinary recursive summation.
@stdlib/stats-base-dsem
Calculate the standard error of the mean for a double-precision floating-point strided array.
@stdlib/stats-base-smeanors
Calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation.
@stdlib/blas-ext-base-dnansum
Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values.
@stdlib/stats-base-dminsorted
Calculate the minimum value of a sorted double-precision floating-point strided array.
@stdlib/stats-base-smin
Calculate the minimum value of a single-precision floating-point strided array.
@stdlib/stats-base-snanmaxabs
Calculate the maximum absolute value of a single-precision floating-point strided array, 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.
@stdlib/blas-ext-base-dsnannsumors
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.
@stdlib/stats-base-nanmin
Calculate the minimum value of a strided array, ignoring NaN values.
@stdlib/stats-base-dmskmax
Calculate the maximum value of a double-precision floating-point strided array according to a mask.
@stdlib/stats-base-dnanmin
Calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values.
@stdlib/stats-base-smean
Calculate the arithmetic mean of a single-precision floating-point strided array.