The **@stdlib/stats-base-dists-uniform-cdf** package provides a fast, pure‑JavaScript (and C) implementation of the cumulative distribution function for a continuous uniform distribution. It exports a `cdf(x, a, b)` function—plus a factory for pre‑configured distributions—intended for developers doing statistical or scientific computing in Node.js, browsers, Deno, or other JavaScript environments.
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Support the dependencies of stdlib-js/stats-base-dists-uniform-cdf
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.
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.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
Uniformly distributed pseudorandom numbers between 0 and 1.
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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