stdlib-js/random-streams

Create a readable stream for generating pseudorandom numbers drawn from a gamma distribution.

Define a read-only property.

Int32Array.

Uint32Array.

Uint8Array.

Test if an object has a specified property.

Test if a value is a boolean.

Check if the runtime is a web browser.

Test if a value is a Buffer object.

Test if a value is an Error object.

Create a readable stream for generating pseudorandom numbers drawn from an arcsine distribution.

Create a readable stream for generating pseudorandom numbers drawn from a beta distribution.

Create a readable stream for generating pseudorandom numbers drawn from a beta prime distribution.

Create a readable stream for generating pseudorandom numbers drawn from a binomial distribution.

Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution using the Box-Muller transform.

Create a readable stream for generating pseudorandom numbers drawn from a Cauchy distribution.

Create a readable stream for generating pseudorandom numbers drawn from a chi distribution.

Create a readable stream for generating pseudorandom numbers drawn from a chi-square distribution.

Create a readable stream for generating pseudorandom numbers drawn from a raised cosine distribution.

Create a readable stream for generating pseudorandom numbers drawn from a Bernoulli distribution.

Create a readable stream for generating pseudorandom numbers drawn from an Erlang distribution.

Create a readable stream for generating pseudorandom numbers drawn from an exponential distribution.

Create a readable stream for generating pseudorandom numbers drawn from an F 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 geometric 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 an inverse gamma 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 logistic distribution.

Create a readable stream for a 32-bit Mersenne Twister pseudorandom number generator.

Create a readable stream for generating pseudorandom numbers drawn from a lognormal distribution.

Create a readable stream for generating pseudorandom numbers drawn from a normal 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 Pareto (Type I) distribution.

Create a readable stream for generating pseudorandom numbers having integer values.

Create a readable stream for generating pseudorandom numbers drawn from a Poisson distribution.

Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution.

Create a readable stream for generating uniformly distributed pseudorandom numbers between 0 and 1.

Create a readable stream for generating pseudorandom numbers drawn from a Rayleigh distribution.

Create a readable stream for generating pseudorandom numbers drawn from a triangular distribution.

Create a readable stream for generating pseudorandom numbers drawn from a Student's t distribution.

Create a readable stream for generating pseudorandom numbers drawn from a uniform distribution.

Create a readable stream for a linear congruential pseudorandom number generator (LCG) whose output is shuffled.

Create a readable stream for generating pseudorandom numbers drawn from a Weibull distribution.

Create a readable stream for generating pseudorandom numbers drawn from a negative binomial distribution.

Create a readable stream for generating pseudorandom numbers drawn from a discrete uniform distribution.

Create a readable stream for a linear congruential pseudorandom number generator (LCG) based on Park and Miller.