stats-strided-svariance
Calculate the variance of a single-precision floating-point strided array.
stats-array-nanmaxabs
Calculate the maximum absolute value of an array, ignoring NaN values.
stats-array-variancewd
Calculate the variance of an array using Welford's algorithm.
stats-strided-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.
stats-strided-dnanmeanors
Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using ordinary recursive summation.
stats-strided-dnanmin
Calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values.
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.
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-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.
lapack-base-dgttrf
Compute an `LU` factorization of a real tridiagonal matrix `A` using elimination with partial pivoting and row interchanges
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-array-nanmin
Calculate the minimum value of an array, ignoring NaN values.
stats-strided-dnanmeanwd
Calculate the arithmetic mean of a double-precision floating-point strided array, using Welford's algorithm and ignoring NaN values.
stats-strided-smeanpn
Calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.
@stdlib/math-strided-special-asinh-by
Compute the hyperbolic arcsine of each element retrieved from an input strided array via a callback function.
@stdlib/blas-base-transpose-operation-str2enum
Return the enumeration constant associated with a BLAS transpose operation.
@stdlib/ndarray-maybe-broadcast-array
Broadcast an ndarray to a specified shape if and only if the specified shape differs from the provided ndarray's shape.
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-array-variancetk
Calculate the variance of an array using a one-pass textbook algorithm.
stats-strided-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.
stats-strided-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.
stats-strided-dsempn
Calculate the standard error of the mean for a double-precision floating-point strided array using a two-pass 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.
stats-array-stdevch
Calculate the standard deviation of an array using a one-pass trial mean algorithm.
blas-ext-base-ndarray-dindex-of
Return the first index of a specified search element in a one-dimensional double-precision floating-point ndarray.
@stdlib/blas-base-matrix-triangle-enum2str
Return the BLAS matrix triangle string associated with a BLAS matrix triangle enumeration constant.
stats-strided-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/array-base-quinary4d
Apply a quinary callback to elements in five four-dimensional nested input arrays and assign results to elements in a four-dimensional nested output array.
@stdlib/ndarray-base-nullary-tiling-block-size
Resolve a loop block size for multi-dimensional array tiled loops.
array-base-broadcasted-ternary5d
Apply a ternary callback to elements in three broadcasted input arrays and assign results to elements in a five-dimensional nested output array.
@stdlib/ndarray-base-maybe-broadcast-arrays
Broadcast ndarrays to a common shape.
@stdlib/array-empty-like
Create an uninitialized array having the same length and data type as a provided array.
stats-strided-nanvariancech
Calculate the variance of a strided array ignoring NaN values and using a one-pass trial mean algorithm.
stats-array-nanstdevtk
Calculate the standard deviation of an array ignoring `NaN` values and using a one-pass textbook algorithm.
stats-array-nanstdevyc
Calculate the standard deviation of an array ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer.
stats-strided-sztest2
Compute a two-sample Z-test for two single-precision floating-point strided arrays.
array-struct-factory
Return a constructor for creating arrays having a fixed-width composite data type.