@stdlib/random-streams-kumaraswamy
Create a readable stream for generating pseudorandom numbers drawn from a Kumaraswamy's double bounded distribution.
Create a readable stream for generating pseudorandom numbers drawn from a Kumaraswamy's double bounded distribution.
Create a readable stream for generating pseudorandom numbers drawn from a Kumaraswamy's double bounded distribution.
Create a readable stream for generating pseudorandom numbers drawn from a Laplace (double exponential) distribution.
Create a readable stream for generating pseudorandom numbers drawn from a Laplace (double exponential) distribution.
Create a readable stream for generating pseudorandom numbers drawn from a Lévy distribution.
Create a readable stream for generating pseudorandom numbers drawn from a Lévy distribution.
Create a readable stream for generating pseudorandom numbers drawn from a logistic distribution.
Create a readable stream for generating pseudorandom numbers drawn from a Fréchet distribution.
Create a readable stream for generating pseudorandom numbers drawn from a Fréchet distribution.
Create a readable stream for generating pseudorandom numbers drawn from a Gumbel distribution.
Create a readable stream for generating pseudorandom numbers drawn from a hypergeometric distribution.
Create a readable stream for generating pseudorandom numbers drawn from a hypergeometric distribution.
Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution using the Improved Ziggurat algorithm.
Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution using the Improved Ziggurat algorithm.
Create a readable stream for generating pseudorandom numbers drawn from an inverse gamma distribution.
Create a readable stream for generating pseudorandom numbers drawn from an inverse gamma distribution.
Create an iterator for generating pseudorandom numbers having integer values.
Create an iterator for generating pseudorandom numbers drawn from a standard normal distribution.
Create an iterator for generating uniformly distributed pseudorandom numbers between 0 and 1.
Create an iterator for generating pseudorandom numbers drawn from a Rayleigh distribution.