The **@stdlib/random-base-frechet** package provides a JavaScript implementation for generating pseudorandom numbers from the Fréchet distribution, exposing both a simple function `frechet(alpha, s, m)` and a configurable PRNG factory (`frechet.factory`). It is intended for developers, researchers, and data‑science applications that require reliable, reproducible random variates for statistical modeling, simulation, or numerical analysis in Node.js, browsers, Deno, or Observable environments.
Total donated
Undistributed
Share with your subscribers:
Recipients
How the donated funds are distributed
Support the dependencies of stdlib-js/random-base-frechet
Return a JSON representation of a typed array.
Test if an object has a specified property.
Test if a value is a function.
Test if a value is NaN.
Test if a value is a number.
Test if a value is a plain object.
Test if a value is a number having a positive value.
Test if a double-precision floating-point numeric value is NaN.
Evaluate the natural logarithm of a double-precision floating-point number.
Exponential function.
A 32-bit Mersenne Twister pseudorandom number generator.
Insert supplied variable values into a format string.
stdlib TypeScript type declarations.
Constant function.
Define a non-enumerable read-only accessor.
Define a non-enumerable read-only property.
Define a non-enumerable read-write accessor.
Function which does nothing.
Format an error message for production.
Create a zero-filled generic array.
Uint32Array.
Test if a value is a Uint32Array.
Difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.
Maximum unsigned 32-bit integer.
Object containing the user environment.
A linear congruential pseudorandom number generator (LCG) based on Park and Miller.
A linear congruential pseudorandom number generator (LCG) whose output is shuffled.
Uniformly distributed pseudorandom numbers between 0 and 1.
One-sample Kolmogorov-Smirnov goodness-of-fit test.
Time in seconds since the epoch.
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.
Support the repos that depend on this repository
Top contributors
stdlib-bot
56 contributions
Recent events
Kivach works on the Obyte network, and therefore you can track all donations.
No events yet