Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.
JavaScript
2
0
Apache License 2.0
This is a JavaScript library for calculating the variance of a single-precision floating-point strided array using a two-pass algorithm. It is part of the stdlib project, a standard library for JavaScript and Node.js with an emphasis on numerical and scientific computing. The library is designed for developers who need to perform statistical calculations on numerical data, particularly those working with single-precision floating-point arrays.
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Support the dependencies of stdlib-js/stats-base-svariancepn
Test if a value is an Error object.
Calculate the sum of single-precision floating-point strided array elements using pairwise summation.
Convert a double-precision floating-point number to the nearest single-precision floating-point number.
Define a non-enumerable read-only property.
Load a manifest for compiling source files.
Wrap `require` in a try/catch block.
Float32Array.
Check if the runtime is a web browser.
Test if a double-precision floating-point numeric value is NaN.
Round a double-precision floating-point number toward negative infinity.
Exponential function.
Round a numeric value to the nearest integer.
Uniformly distributed pseudorandom numbers between 0 and 1.
Proxies nodejs require in order to allow overriding dependencies during testing.
tap-producing test harness for node and browsers
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
Minimal TAP output formatter.
Benchmark harness.
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