This project is a JavaScript library that calculates the skewness of a Student's t-distribution, which is a measure of the asymmetry of the probability distribution. 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 intended for developers working on statistical analysis or simulations that require accurate calculations of distribution properties.
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Support the dependencies of stdlib-js/stats-base-dists-t-skewness
Test if a double-precision floating-point numeric value is NaN.
C APIs for registering a Node-API module exporting an interface for invoking a unary numerical function.
Load a manifest for compiling source files.
Insert array element values and the result of a callback function into a format string and print the result.
Difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.
Double-precision floating-point negative infinity.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
Insert supplied variable values into a format string.
Wrap `require` in a try/catch block.
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 ca
Minimal TAP output formatter.
Benchmark harness.
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