stats-array-nanvariancetk
Calculate the variance of an array ignoring `NaN` values and using a one-pass textbook algorithm.
stats-array-variancewd
Calculate the variance of an array using Welford's algorithm.
blas-base-wasm-dznrm2
Compute the L2-norm of a complex double-precision floating-point vector.
blas-base-wasm-sdsdot
Calculate the dot product of two single-precision floating-point vectors with extended accumulation.
stats-strided-dvariance
Calculate the variance of a double-precision floating-point strided array.
lapack-base-dge-trans
Convert input general matrix from row-major to column-major layout or vice versa.
stats-array-nanmax
Calculate the maximum value of an array, ignoring NaN values.
stats-array-varianceyc
Calculate the variance of an array using a one-pass algorithm proposed by Youngs and Cramer.
stats-array-nanmin
Calculate the minimum value of an array, ignoring NaN values.
stats-strided-dnanstdev
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values.
stats-strided-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.
stats-strided-dnanstdevch
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
stats-array-nanstdev
Calculate the standard deviation of an array ignoring `NaN` values.
stats-array-mskmax
Calculate the maximum value of an array according to a mask.
blas-base-dtrmv
Perform one of the matrix-vector operations `x = A*x` or `x = A^T*x`.
blas-base-wasm-dsdot
Compute the dot product of `x` and `y` with extended accumulation and result.
stats-strided-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.
stats-strided-dsem
Calculate the standard error of the mean for a double-precision floating-point strided array.
random-array-beta
Create an array containing pseudorandom numbers drawn from a beta distribution.
stats-strided-nanstdevyc
Compute nan-standard deviations for strided arrays with ease using stats-strided-nanstdevyc. Ideal for numerical and scientific tasks in JavaScript. 🚀📊
stats-strided-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/array-base-mskunary3d
Apply a unary callback to elements in a three-dimensional nested input array according to elements in a three-dimensional nested mask array and assign results to elements in a three-dimensional nested output array.
stats-strided-nanstdevpn
Calculate the standard deviation of a strided array ignoring NaN values and using a two-pass algorithm.
stats-strided-dztest2
Compute a two-sample Z-test for two double-precision floating-point strided arrays.
stats-strided-dnanmeanwd
Calculate the arithmetic mean of a double-precision floating-point strided array, using Welford's algorithm and ignoring NaN values.
stats-array-nanmeanpn
Calculate the arithmetic mean of an array, ignoring NaN values and using a two-pass error correction algorithm.
ndarray-base-assert-is-integer-index-data-type
Test if an input value is a supported ndarray integer index data type.
stats-array-nanmskmax
Calculate the maximum value of an array according to a mask, ignoring NaN values.
stats-strided-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.
stats-strided-meanors
Calculate the arithmetic mean of a strided array using ordinary recursive summation.
math-array-special-abs
Compute the absolute value for each element in an input array.
stats-array-variancetk
Calculate the variance of an array using a one-pass textbook algorithm.
@stdlib/array-base-map3d
Apply a function to elements in a three-dimensional nested input array and assign results to elements in a new three-dimensional nested output array.
stats-strided-dnanmax
Calculate the maximum value of a double-precision floating-point strided array, ignoring NaN values.
@stdlib/array-base-unary2d
Apply a unary callback to elements in a two-dimensional nested input array and assign results to elements in a two-dimensional nested output array.
stats-strided-svariancech
Calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.
ndarray-base-unary-reduce-strided1d-assign-struct
Perform a reduction over a list of specified dimensions in an input ndarray via a one-dimensional strided array reduction function and assign results to a provided output ndarray.
ndarray-base-spread-dimensions
Expand the shape of an array to a specified dimensionality by spreading its dimensions to specified dimension indices and inserting dimensions of size one for the remaining dimensions.
@stdlib/array-base-ternary4d
Apply a ternary callback to elements in three four-dimensional nested input arrays and assign results to elements in a four-dimensional nested output array.
lapack-base-sge-trans
Convert a matrix from row-major layout to column-major layout or vice versa.
@stdlib/lapack-base-dpttrf
Compute the `L * D * L^T` factorization of a real symmetric positive definite tridiagonal matrix `A`.
array-base-cuevery-by-right
Cumulatively test whether every array element in a provided array passes a test implemented by a predicate function, while iterating from right-to-left.
array-base-mskbinary4d
Apply a binary callback to elements in two four-dimensional nested input arrays according to elements in a four-dimensional nested mask array and assign results to elements in a four-dimensional nested output array.
array-base-mskbinary3d
Apply a binary callback to elements in two three-dimensional nested input arrays according to elements in a three-dimensional nested mask array and assign results to elements in a three-dimensional nested output array.
stats-strided-dmin
Calculate the minimum value of a double-precision floating-point strided array.
@stdlib/array-base-fancy-slice-assign
Assign element values from a broadcasted input array to corresponding elements in an output array.
stats-array-mskmin
Calculate the minimum value of an array according to a mask.
@stdlib/blas-base-transpose-operation-resolve-str
Return the transpose operation string associated with a supported BLAS transpose operation value.
stats-strided-dsvariance
Calculate the variance of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.
array-base-unary3d-by
Apply a unary function to each element retrieved from a three-dimensional nested input array according to a callback function and assign results to elements in a three-dimensional nested output array.
