The @stdlib/stats-base-dists-discrete-uniform-pmf package provides a JavaScript (and C) implementation of the probability‑mass function for a discrete uniform distribution, supporting both direct evaluation and a factory that returns a bound PMF function. It is aimed at developers and researchers who need reliable, standards‑compliant statistical primitives for numerical computing in browsers, Node.js, Deno, or other JavaScript environments.
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Test if a finite double-precision floating-point number is an integer.
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 ternary numerical function.
Constant function.
Define a non-enumerable read-only property.
Load a manifest for compiling source files.
Float64Array.
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.
Double-precision floating-point positive infinity.
Compute the absolute value of a double-precision floating-point number.
Round a numeric value to the nearest integer.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
Discrete uniform distributed pseudorandom numbers.
Uniformly distributed pseudorandom numbers.
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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