The @stdlib/stats-base-dists-t-mean package provides a single function that returns the expected value (mean) of a Student’s t distribution for a given degrees‑of‑freedom v (zero for v > 1, NaN otherwise). It’s a lightweight utility aimed at developers and researchers doing statistical or scientific computing in JavaScript/Node.js (and also available for Deno, browsers, and C).
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Support the dependencies of stdlib-js/stats-base-dists-t-mean
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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