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-strided-svariancech
Calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.
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.
stats-strided-nanmin-by
Calculate the minimum value of a strided array via a callback function, ignoring NaN values.
stats-strided-nanmax-by
Calculate the maximum value of a strided array via a callback function, ignoring NaN values.
stats-strided-min-by
Calculate the minimum value of a strided array via a callback function.
stats-strided-max-by
Calculate the maximum value of a strided array via a callback function.
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-strided-dvariancepn
Calculate the variance of a double-precision floating-point strided 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-strided-dcovarmtk
Calculate the covariance of two double-precision floating-point strided arrays provided known means and using a one-pass textbook algorithm.
stats-strided-snanmeanwd
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using Welford's algorithm.
blas-ext-base-ndarray-gindex-of
Return the first index of a specified search element in a one-dimensional ndarray.
blas-base-strmv
Perform one of the matrix-vector operations `x = A*x` or `x = A^T*x`.
@stdlib/blas-base-dznrm2
Compute the L2-norm of a complex double-precision floating-point vector.
random-tools-unary
Constructor for creating ndarrays filled with pseudorandom numbers drawn from a single-parameter probability distribution.
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-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.
blas-ext-base-ndarray-glast-index-of
Efficiently find the index of values in ndarrays with blas-ext-base-ndarray-glast-index-of. Ideal for numerical computations in JavaScript. 🐙💻
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-array-stdevtk
Calculate the standard deviation of an array using a one-pass textbook algorithm.
array-base-symmetric-filled2d-by
Create a filled two-dimensional symmetric nested array according to a provided callback function.
stats-strided-dmax
Calculate the maximum value of a double-precision floating-point strided array.
stats-strided-dcovmatmtk
Compute the covariance matrix for an `M` by `N` double-precision floating-point matrix `A` and assigns the results to a matrix `B` when provided known means and using a one-pass textbook algorithm.
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-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-strided-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.
ndarray-base-unary-reduce-subarray-by
This repository contains a JavaScript library for performing unary reduction operations on subarrays within ndarray structures. Explore the code and contribute to enhance numerical computations! 🐙🌐
@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.
ndarray-base-unary-reduce-subarray
Perform a reduction over a list of specified dimensions in an input ndarray and assign results to a provided output ndarray.
blas-ext-base-wasm-dapx
Add a scalar constant to each element in a double-precision floating-point strided array.
stats-strided-dnanmeanpw
Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using pairwise summation.
stats-array-nanmeanwd
Calculate the arithmetic mean of an array, ignoring NaN values and using Welford's algorithm.
array-base-broadcasted-quaternary2d
Apply a quaternary callback to elements in four broadcasted input arrays and assign results to elements in a two-dimensional nested output array.
@stdlib/array-base-binary2d
Apply a binary callback to elements in two-dimensional nested input arrays and assign results to elements in a two-dimensional nested output array.
stats-strided-snanmin
Calculate the minimum value of a single-precision floating-point strided array, ignoring NaN values.
blas-ext-base-wasm-dnansumpw
Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values and using pairwise summation.
@stdlib/random-array-gamma
Create an array containing pseudorandom numbers drawn from a gamma distribution.
stats-strided-nanmaxabs
Calculate the maximum absolute value of a strided array, ignoring NaN values.
stats-strided-sztest
Compute a one-sample Z-test for a single-precision floating-point strided array.
ndarray-base-promote-dtypes
Resolve the data type that results from applying promotion rules to a provided list of data types.