The **@stdlib/stats-base-dists-gumbel-cdf** package provides a JavaScript (and C) implementation of the cumulative distribution function for the Gumbel distribution, with support for custom location (`mu`) and scale (`beta`) parameters and a factory method for creating reusable CDF functions. It is intended for developers and researchers doing statistical or scientific computing in Node.js, browsers, Deno, or C environments who need reliable, well‑tested numerical probability functions.
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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.
Natural exponential function.
Constant function.
Define a non-enumerable read-only property.
Load a manifest for compiling source files.
Float64Array.
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.
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.
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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