@stdlib/blas-ext-base-gcusumkbn
Calculate the cumulative sum of strided array elements using an improved Kahan–Babuška algorithm.
@stdlib/stats-base-dsmeanpn
Calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm with extended accumulation and returning an extended precision result.
@stdlib/blas-ext-base-scusumkbn
Calculate the cumulative sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.
blas-ext-base-dcusumkbn2
Calculate the cumulative sum of double-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.
stats-base-nanmeanwd
Calculate the arithmetic mean of a strided array, ignoring NaN values and using Welford's algorithm.
@stdlib/stats-base-dnanvarianceyc
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/random-streams-minstd-shuffle
Create a readable stream for a linear congruential pseudorandom number generator (LCG) whose output is shuffled.
@stdlib/stats-base-svariancepn
Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.
@stdlib/blas-ext-base-dsumkbn2
Calculate the sum of double-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.
@stdlib/stats-base-nanvariancepn
Calculate the variance of a strided array ignoring NaN values and using a two-pass algorithm.
@stdlib/stats-base-nanvariancetk
Calculate the variance of a strided array ignoring NaN values and using a one-pass textbook algorithm.
@stdlib/stats-base-dvarmpn
Calculate the variance of a double-precision floating-point strided array provided a known mean and using Neely's correction algorithm.
@stdlib/stats-base-snanvariancepn
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
@stdlib/stats-base-dnanmeanpn
Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.
@stdlib/stats-base-dnanvariancetk
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
@stdlib/random-iter-box-muller
Create an iterator for generating pseudorandom numbers drawn from a standard normal distribution using the Box-Muller transform.
@stdlib/stats-base-sstdevtk
Calculate the standard deviation of a single-precision floating-point strided array using a one-pass textbook algorithm.
@stdlib/blas-ext-base-dnannsumkbn2
Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values and using a second-order iterative Kahan–Babuška algorithm.
@stdlib/blas-ext-base-dnannsumkbn
Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values and using an improved Kahan–Babuška algorithm.
@stdlib/stats-base-meankbn
Calculate the arithmetic mean of a strided array using an improved Kahan–Babuška algorithm.
@stdlib/blas-ext-base-dnansumpw
Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values and using pairwise summation.
@stdlib/stats-base-dmeanpw
Calculate the arithmetic mean of a double-precision floating-point strided array using pairwise summation.
@stdlib/stats-base-sstdev
Calculate the standard deviation of a single-precision floating-point strided array.
@stdlib/stats-base-stdevtk
Calculate the standard deviation of a strided array using a one-pass textbook algorithm.
@stdlib/stats-base-smeanlipw
Calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.
@stdlib/stats-base-nanmeanpn
Calculate the arithmetic mean of a strided array, ignoring NaN values and using a two-pass error correction algorithm.
@stdlib/blas-ext-base-dsapxsumpw
Adds a constant to each single-precision floating-point strided array element and computes the sum using pairwise summation with extended accumulation and returning an extended precision result.
@stdlib/stats-base-nanstdevtk
Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass textbook algorithm.
@stdlib/stats-base-dnanstdevyc
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/blas-ext-base-gnansumkbn
Calculate the sum of strided array elements, ignoring NaN values and using an improved Kahan–Babuška algorithm.
@stdlib/stats-base-dnanmeanpw
Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using pairwise summation.
random-streams-improved-ziggurat
Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution using the Improved Ziggurat algorithm.
@stdlib/datasets-harrison-boston-house-prices
A dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).
@stdlib/stats-base-dvariancetk
Calculate the variance of a double-precision floating-point strided array using a one-pass textbook algorithm.
@stdlib/stats-base-snanvariancetk
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
@stdlib/math-base-special-ellipk
Compute the complete elliptic integral of the first kind.
@stdlib/stats-base-dmeankbn2
Calculate the arithmetic mean of a double-precision floating-point strided array using a second-order iterative Kahan–Babuška algorithm.
@stdlib/stats-base-snanstdevpn
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
@stdlib/stats-base-meanpw
Calculate the arithmetic mean of a strided array using pairwise summation.
@stdlib/blas-ext-base-dsnansumpw
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values, using pairwise summation with extended accumulation, and returning an extended precision result.
@stdlib/stats-base-stdevch
Calculate the standard deviation of a strided array using a one-pass trial mean algorithm.
datasets-herndon-venus-semidiameters
Fifteen observations of the vertical semidiameter of Venus, made by Lieutenant Herndon, with the meridian circle at Washington, in the year 1846.
@stdlib/stats-base-varianceyc
Calculate the variance of a strided array using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-smeankbn
Calculate the arithmetic mean of a single-precision floating-point strided array using an improved Kahan–Babuška algorithm.
@stdlib/blas-ext-base-snansumpw
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using pairwise summation.
@stdlib/stats-base-meanwd
Calculate the arithmetic mean of a strided array using Welford's algorithm.
@stdlib/stats-base-nanstdevpn
Calculate the standard deviation of a strided array ignoring NaN values and using a two-pass algorithm.
@stdlib/stats-base-sstdevpn
Calculate the standard deviation of a single-precision floating-point strided array using a two-pass algorithm.
@stdlib/random-streams-minstd
Create a readable stream for a linear congruential pseudorandom number generator (LCG) based on Park and Miller.
@stdlib/blas-ext-base-sdsnansumpw
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using pairwise summation with extended accumulation.
@stdlib/blas-ext-base-ssort2hp
Simultaneously sort two single-precision floating-point strided arrays based on the sort order of the first array using heapsort.
@stdlib/stats-base-smeanwd
Calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.
@stdlib/stats-base-dsempn
Calculate the standard error of the mean for a double-precision floating-point strided array using a two-pass algorithm.
@stdlib/stats-base-smeanpn
Calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.
@stdlib/stats-base-dsmeanpw
Calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation with extended accumulation and returning an extended precision result.
@stdlib/stats-base-dstdevyc
Calculate the standard deviation of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-dsmeanwd
Calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm with extended accumulation and returning an extended precision result.
@stdlib/stats-base-variancewd
Calculate the variance of a strided array using Welford's algorithm.
@stdlib/stats-base-dsnanmeanpn
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using a two-pass error correction algorithm with extended accumulation, and returning an extended precision result.
@stdlib/stats-base-dmeanwd
Calculate the arithmetic mean of a double-precision floating-point strided array using Welford's algorithm.
@stdlib/stats-base-dsemtk
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass textbook algorithm.
@stdlib/stats-base-snanstdevtk
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
@stdlib/blas-ext-base-sdsapxsumpw
Adds a constant to each single-precision floating-point strided array element and computes the sum using pairwise summation with extended accumulation.
@stdlib/stats-base-svarianceyc
Calculate the variance of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/random-iter-improved-ziggurat
Create an iterator for generating pseudorandom numbers drawn from a standard normal distribution using the Improved Ziggurat algorithm.
@stdlib/blas-ext-base-dsort2hp
Simultaneously sort two double-precision floating-point strided arrays based on the sort order of the first array using heapsort.
@stdlib/stats-base-dvarianceyc
Calculate the variance of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-dnanvariancewd
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
@stdlib/stats-base-dmeanlipw
Calculate the arithmetic mean of a double-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.
@stdlib/stats-base-dnanmeanwd
Calculate the arithmetic mean of a double-precision floating-point strided array, using Welford's algorithm and ignoring NaN values.
@stdlib/stats-base-dstdevpn
Calculate the standard deviation of a double-precision floating-point strided array using a two-pass algorithm.
@stdlib/blas-ext-base-gnannsumkbn
Calculate the sum of strided array elements, ignoring NaN values and using an improved Kahan–Babuška algorithm.
@stdlib/stats-base-dsnanmeanwd
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using Welford's algorithm with extended accumulation, and returning an extended precision result.
@stdlib/stats-base-smeankbn2
Calculate the arithmetic mean of a single-precision floating-point strided array using a second-order iterative Kahan–Babuška algorithm.
@stdlib/blas-ext-base-ssort2sh
Simultaneously sort two single-precision floating-point strided arrays based on the sort order of the first array using Shellsort.
@stdlib/stats-base-dmeanli
Calculate the arithmetic mean of a double-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/stats-base-meankbn2
Calculate the arithmetic mean of a strided array using a second-order iterative Kahan–Babuška algorithm.
@stdlib/stats-base-dnanvariancepn
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
@stdlib/blas-ext-base-dnansumkbn2
Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values and using a second-order iterative Kahan–Babuška algorithm.
@stdlib/blas-ext-base-sasumpw
Calculate the sum of absolute values (L1 norm) of single-precision floating-point strided array elements using pairwise summation.
@stdlib/blas-ext-base-gnansumkbn2
Calculate the sum of strided array elements, ignoring NaN values and using a second-order iterative Kahan–Babuška algorithm.
@stdlib/stats-base-sstdevch
Calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/blas-ext-base-scusumkbn2
Calculate the cumulative sum of single-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.
@stdlib/stats-base-dsemyc
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-svariancewd
Calculate the variance of a single-precision floating-point strided array using Welford's algorithm.
@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-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/stats-base-stdevyc
Calculate the standard deviation of a strided array using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-dstdevwd
Calculate the standard deviation of a double-precision floating-point strided array using Welford's algorithm.
@stdlib/stats-base-svariancech
Calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/random-iter-minstd
Create an iterator for a linear congruential pseudorandom number generator (LCG) based on Park and Miller.
@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/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.