Compute the arithmetic mean of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using pairwise summation.
JavaScript
0
0
Apache License 2.0
This package computes the arithmetic mean of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using pairwise summation for improved numerical stability. It's designed for developers working with numerical data in JavaScript who need to calculate means while handling missing values and maintaining computational accuracy.
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Support the dependencies of stdlib-js/stats-base-ndarray-dnanmeanpw
Return the underlying data buffer of a provided ndarray.
Return the size (i.e., number of elements) of a specified dimension for a provided ndarray.
Return the index offset specifying the underlying buffer index of the first iterated ndarray element.
Return the stride along a specified dimension for a provided ndarray.
Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using pairwise summation.
stdlib TypeScript type declarations.
Create a filled array according to a provided callback function.
Float64Array.
Test if a double-precision floating-point numeric value is NaN.
Exponential function.
Base multidimensional array.
Convert an ndarray to a generic array.
Bernoulli distributed pseudorandom numbers.
Uniformly distributed pseudorandom numbers.
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Minimal TAP output formatter.
Benchmark harness.
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