@stdlib/array-base-assert-is-complex64array
Test if a value is a Complex64Array.
@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.
array-base-unary5d-by
Apply a unary function to each element retrieved from a five-dimensional nested input array according to a callback function and assign results to elements in a five-dimensional nested output array.
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.
@stdlib/blas-base-matrix-triangle-enum2str
Return the BLAS matrix triangle string associated with a BLAS matrix triangle enumeration constant.
@stdlib/lapack-base-dlaswp
Perform a series of row interchanges on an input matrix.
stats-strided-svariancech
Calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.
@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-array-variancetk
Calculate the variance of an array using a one-pass textbook algorithm.
@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.
math-array-special-abs
Compute the absolute value for each element in an input array.
ndarray-base-assert-is-integer-index-data-type
Test if an input value is a supported ndarray integer index data type.
stats-strided-dnanstdevpn
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
stats-strided-dmeanpn
Calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm.
stats-strided-wasm-dmeanwd
Calculate the arithmetic mean of a double-precision floating-point strided array using Welford's algorithm.
stats-strided-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.
stats-array-mskmax
Calculate the maximum value of an array according to a mask.
blas-ext-base-wasm-dapxsumpw
Add a constant to each double-precision floating-point strided array element and compute the sum using pairwise summation.
napi-argv-dataview
This repository provides a way to work with DataView in Node.js, allowing seamless manipulation of binary data. 🌐 Explore efficient numerical computations with ease and flexibility. 🛠️
stats-strided-nanmin-by
Calculate the minimum value of a strided array via a callback function, ignoring NaN values.
ndarray-base-unary-reduce-strided1d
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.
@stdlib/array-base-broadcasted-binary4d
Apply a binary callback to elements in broadcasted input arrays and assign results to elements in a four-dimensional nested output array.
stats-strided-meanpn
Stats-strided-meanpn provides efficient computation of strided means for numerical data. 📊 This library enhances your data analysis capabilities in JavaScript and Node.js. 🚀
stats-array-stdevyc
Calculate the standard deviation of an array using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/assert-is-complex128ndarray-like
Test if a value is an ndarray-like object containing double-precision complex floating-point numbers.
stats-array-stdevwd
Calculate the standard deviation of an array using Welford's algorithm.
stats-array-stdevpn
Calculate the standard deviation of an array using a two-pass algorithm.
lapack-base-dlaset
Set the off-diagonal elements and the diagonal elements of a double-precision floating-point matrix to specified values.
stats-base-sdsnanmeanors
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using ordinary recursive summation with extended accumulation.
stats-strided-snanmeanwd
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using Welford's algorithm.
@stdlib/random-array-tools-unary
Constructor for creating arrays filled with pseudorandom values drawn from a unary PRNG.
stats-strided-dnanvariancepn
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
stats-strided-wasm-dmeanors
Calculate the arithmetic mean of a double-precision floating-point strided array using ordinary recursive summation.
stats-strided-dnanstdevpn
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
stats-strided-dnanvariance
Calculate the variance of a double-precision floating-point strided array ignoring NaN values.
stats-strided-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.
stats-strided-dsemch
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass trial mean algorithm.
stats-strided-sdsmean
Calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation.
stats-strided-smeanpw
Calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation.
stats-strided-smeanwd
Calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.
stats-strided-dmeanwd
Calculate the arithmetic mean of a double-precision floating-point strided array using Welford's algorithm.
stats-strided-dnanvariancetk
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
stats-array-nanmax-by
Calculate the maximum value of an array via a callback function, ignoring NaN values.
@stdlib/blas-base-cscal
Scale a single-precision complex floating-point vector by a single-precision complex floating-point constant.
stats-strided-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.
stats-strided-dnanstdev
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values.