Calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm.
JavaScript
2
0
Apache License 2.0
This package is part of stdlib, a JavaScript library for numerical and scientific computing. It provides a function to calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm. The package is designed for developers working with numerical data in JavaScript who need accurate mean calculations, particularly when dealing with large datasets where numerical stability is important.
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Support the dependencies of stdlib-js/stats-base-dmeanpn
Test if a value is an Error object.
Add a scalar constant to each double-precision floating-point strided array element and compute the sum using pairwise summation.
Calculate the sum of double-precision floating-point strided array elements using pairwise summation.
Define a non-enumerable read-only property.
Load a manifest for compiling source files.
Wrap `require` in a try/catch block.
Float64Array.
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
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Minimal TAP output formatter.
Benchmark harness.
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