@stdlib/random-iter-gumbel
Create an iterator for generating pseudorandom numbers drawn from a Gumbel distribution.
Create an iterator for generating pseudorandom numbers drawn from a Gumbel distribution.
Create an iterator for generating pseudorandom numbers drawn from a hypergeometric distribution.
Create an iterator for generating pseudorandom numbers drawn from a standard normal distribution using the Improved Ziggurat algorithm.
Create an iterator for generating pseudorandom numbers drawn from an inverse gamma distribution.
Create an iterator for generating pseudorandom numbers drawn from a Kumaraswamy's double bounded distribution.
Create an iterator for generating pseudorandom numbers drawn from a chi distribution.
Create an iterator for generating pseudorandom numbers drawn from a chi-square distribution.
Create an iterator for generating pseudorandom numbers drawn from a raised cosine distribution.
Create an iterator for generating pseudorandom numbers drawn from a discrete uniform distribution.
Create an iterator for generating pseudorandom numbers drawn from an Erlang distribution.
Random numbers.
Test if a value is PRNG-like.
Fast pseudorandom number generator
Park-Miller pseudorandom number generator (PRNG) package. Fast and easy-to-use for applications requiring controlled randomness.
Seedable random number generator supporting many common distributions.
Fully-fledged collection of both 32 and 64 bit seedable random number generators whose output precisely matches their original c/c++ implementations.
Seedable random number generator supporting many common distributions.
A recoverable number generator that generates pseudorandom integer or floating-point numbers within a given range.
SHISHUA: The fastest PRNG. A seedrandom-compatible random number generator.
Generate and use memorable random seeds.