Compute a corrected sample standard deviation incrementally.
JavaScript
2
0
Apache License 2.0
This project is a JavaScript library for incrementally computing the corrected sample standard deviation, which is a statistical measure of how spread out a set of numbers is. It is designed for use in web applications or Node.js environments, particularly in scenarios where data is processed in real-time or in chunks, such as streaming data or large datasets. The library is part of the stdlib project, a standard library for JavaScript and Node.js with an emphasis on numerical and scientific computing.
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Support the dependencies of stdlib-js/stats-incr-stdev
Test if a value is a number.
Test if a double-precision floating-point numeric value is NaN.
Compute the principal square root of a double-precision floating-point number.
Insert supplied variable values into a format string.
stdlib TypeScript type declarations.
Format an error message for production.
Uniformly distributed pseudorandom numbers between 0 and 1.
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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