@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/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-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-dsort2sh
Simultaneously sort two double-precision floating-point strided arrays based on the sort order of the first array using Shellsort.
@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-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-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-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-dnanstdevwd
Calculate the standard deviation of a double-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/datasets-harrison-boston-house-prices-corrected
A (corrected) dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).
@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-gcusumpw
Calculate the cumulative sum of strided array elements using pairwise summation.
@stdlib/stats-base-svariancetk
Calculate the variance of a single-precision floating-point strided array using a one-pass textbook algorithm.
@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.
@stdlib/random-iter-minstd-shuffle
Create an iterator for a linear congruential pseudorandom number generator (LCG) whose output is shuffled.
@stdlib/datasets-pace-boston-house-prices
A (corrected) dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).
@stdlib/stats-base-smeanpw
Calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation.
stats-base-smeanli
Calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/math-base-special-ldexp
Multiply a double-precision floating-point number by an integer power of two.
@stdlib/constants-float64-high-word-abs-mask
High word mask for excluding the sign bit of a double-precision floating-point number.
@stdlib/constants-float64-min-base2-exponent-subnormal
The minimum biased base 2 exponent for a subnormal double-precision floating-point number.
datasets-minard-napoleons-march
Data for Charles Joseph Minard's cartographic depiction of Napoleon's Russian campaign of 1812.
@stdlib/math-base-special-abs
Compute the absolute value of a double-precision floating-point number.
@stdlib/constants-float64-max-base2-exponent-subnormal
The maximum biased base 2 exponent for a subnormal double-precision floating-point number.
@stdlib/number-float64-base-exponent
Return an integer corresponding to the unbiased exponent of a double-precision floating-point number.
@stdlib/number-float64-base-get-high-word
Return an unsigned 32-bit integer corresponding to the more significant 32 bits of a double-precision floating-point number.
@stdlib/constants-float64-high-word-exponent-mask
High word mask for the exponent of a double-precision floating-point number.
@stdlib/constants-float64-exponent-bias
The bias of a double-precision floating-point number's exponent.
@stdlib/constants-float64-high-word-sign-mask
High word mask for the sign bit of a double-precision floating-point number.
stats-base-dvariancewd
Calculate the variance of a double-precision floating-point strided array using Welford's 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-snanvariancech
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
blas-base-sdsdot
Calculate the dot product of two single-precision floating-point vectors with extended accumulation.
stats-base-snanvariancewd
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
@stdlib/number-float64-base-get-low-word
Return an unsigned 32-bit integer corresponding to the less significant 32 bits of a double-precision floating-point number.
@stdlib/math-base-special-gamma-lanczos-sum-expg-scaled
Calculate a scaled Lanczos sum for the approximation of the gamma function.
@stdlib/math-base-special-sqrt
Compute the principal square root of a double-precision floating-point number.
@stdlib/string-base-replace
Replace search occurrences with a replacement string.
@stdlib/math-base-special-trunc
Round a double-precision floating-point number toward zero.
@stdlib/math-base-special-kernel-cos
Compute the cosine of a number on `[-π/4, π/4]`.