stdlib-js/stats-base-ndarray-covarm...

Compute the covariance of two one-dimensional ndarrays provided known means and using a one-pass textbook algorithm.

JavaScript

Apache License 2.0

This project is a JavaScript library for computing the covariance of two one-dimensional ndarrays using a one-pass textbook algorithm, provided known means. It is part of stdlib, a standard library for JavaScript and Node.js focused on numerical and scientific computing. The library is designed for developers working with numerical data who need to calculate covariance efficiently and accurately.

Total donated

Undistributed

Share with your subscribers:

Recipients

How the donated funds are distributed

Support the dependencies of stdlib-js/stats-base-ndarray-covarmtk

stdlib-js/ndarray-base-data-buffer

Return the underlying data buffer of a provided ndarray.

stdlib-js/ndarray-base-ndarraylike2scalar

Convert an ndarray-like object to a scalar value.

stdlib-js/ndarray-base-numel-dimension

Return the size (i.e., number of elements) of a specified dimension for a provided ndarray.

stdlib-js/ndarray-base-offset

Return the index offset specifying the underlying buffer index of the first iterated ndarray element.

stdlib-js/ndarray-base-stride

Return the stride along a specified dimension for a provided ndarray.

stdlib-js/stats-strided-covarmtk

Calculate the covariance of two strided arrays provided known means and using a one-pass textbook algorithm.

stdlib-js/types

stdlib TypeScript type declarations.

stdlib-js/math-base-assert-is-nan

Test if a double-precision floating-point numeric value is NaN.

stdlib-js/math-base-special-pow

Exponential function.

stdlib-js/ndarray-base-ctor

Base multidimensional array.

stdlib-js/ndarray-base-from-scalar

Convert a scalar value to a zero-dimensional ndarray.

stdlib-js/ndarray-from-scalar

Convert a scalar value to a zero-dimensional ndarray.

stdlib-js/ndarray-to-array

Convert an ndarray to a generic array.

stdlib-js/random-array-discrete-uniform

Create an array containing pseudorandom numbers drawn from a discrete uniform distribution.

stdlib-js/random-array-uniform

Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.

tape-testing/tape

tap-producing test harness for node and browsers

gotwarlost/istanbul

Yet another JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use cases including unit tests, server side functional tests and browser tests. Built for scale