# Strided > Pseudorandom number generator (PRNG) strided array functions.
## Usage ```javascript var ns = require( '@stdlib/random/strided' ); ``` #### ns Namespace containing strided array pseudorandom number generator (PRNG) functions. ```javascript var o = ns; // returns {...} ``` The namespace contains the following:
- [`arcsine( N, a, sa, b, sb, out, so[, options] )`][@stdlib/random/strided/arcsine]: fill a strided array with pseudorandom numbers drawn from an arcsine distribution. - [`bernoulli( N, p, sp, out, so )`][@stdlib/random/strided/bernoulli]: fill a strided array with pseudorandom numbers drawn from a Bernoulli distribution. - [`beta( N, alpha, sa, beta, sb, out, so[, options] )`][@stdlib/random/strided/beta]: fill a strided array with pseudorandom numbers drawn from a beta distribution. - [`betaprime( N, alpha, sa, beta, sb, out, so[, options] )`][@stdlib/random/strided/betaprime]: fill a strided array with pseudorandom numbers drawn from a beta prime distribution. - [`chi( N, k, sk, out, so )`][@stdlib/random/strided/chi]: fill a strided array with pseudorandom numbers drawn from a chi distribution. - [`chisquare( N, k, sk, out, so )`][@stdlib/random/strided/chisquare]: fill a strided array with pseudorandom numbers drawn from a chi-square distribution. - [`cosine( N, mu, sm, s, ss, out, so[, options] )`][@stdlib/random/strided/cosine]: fill a strided array with pseudorandom numbers drawn from a raised cosine distribution. - [`discreteUniform( N, a, sa, b, sb, out, so[, options] )`][@stdlib/random/strided/discrete-uniform]: fill a strided array with pseudorandom numbers drawn from a discrete uniform distribution. - [`exponential( N, lambda, sl, out, so )`][@stdlib/random/strided/exponential]: fill a strided array with pseudorandom numbers drawn from an exponential distribution. - [`gamma( N, alpha, sa, beta, sb, out, so[, options] )`][@stdlib/random/strided/gamma]: fill a strided array with pseudorandom numbers drawn from a gamma distribution. - [`geometric( N, p, sp, out, so )`][@stdlib/random/strided/geometric]: fill a strided array with pseudorandom numbers drawn from a geometric distribution. - [`invgamma( N, alpha, sa, beta, sb, out, so[, options] )`][@stdlib/random/strided/invgamma]: fill a strided array with pseudorandom numbers drawn from an inverse gamma distribution. - [`lognormal( N, mu, sm, sigma, ss, out, so[, options] )`][@stdlib/random/strided/lognormal]: fill a strided array with pseudorandom numbers drawn from a lognormal distribution. - [`minstdShuffle( N, out, so[, options] )`][@stdlib/random/strided/minstd-shuffle]: fill a strided array with pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG) whose output is shuffled. - [`minstd( N, out, so[, options] )`][@stdlib/random/strided/minstd]: fill a strided array with pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG). - [`mt19937( N, out, so[, options] )`][@stdlib/random/strided/mt19937]: fill a strided array with pseudorandom numbers generated using a 32-bit Mersenne Twister pseudorandom number generator. - [`normal( N, mu, sm, sigma, ss, out, so[, options] )`][@stdlib/random/strided/normal]: fill a strided array with pseudorandom numbers drawn from a normal distribution. - [`poisson( N, lambda, sl, out, so )`][@stdlib/random/strided/poisson]: fill a strided array with pseudorandom numbers drawn from a Poisson distribution. - [`randu( N, out, so[, options] )`][@stdlib/random/strided/randu]: fill a strided array with uniformly distributed pseudorandom numbers between `0` and `1`. - [`rayleigh( N, sigma, ss, out, so )`][@stdlib/random/strided/rayleigh]: fill a strided array with pseudorandom numbers drawn from a Rayleigh distribution. - [`t( N, v, sv, out, so )`][@stdlib/random/strided/t]: fill a strided array with pseudorandom numbers drawn from a Student's t-distribution. - [`uniform( N, a, sa, b, sb, out, so[, options] )`][@stdlib/random/strided/uniform]: fill a strided array with pseudorandom numbers drawn from a continuous uniform distribution. - [`weibull( N, k, sk, lambda, sl, out, so[, options] )`][@stdlib/random/strided/weibull]: fill a strided array with pseudorandom numbers drawn from a Weibull distribution.
## Examples ```javascript var objectKeys = require( '@stdlib/utils/keys' ); var ns = require( '@stdlib/random/strided' ); console.log( objectKeys( ns ) ); ```
[@stdlib/random/strided/arcsine]: https://github.com/stdlib-js/random/tree/main/strided/arcsine [@stdlib/random/strided/bernoulli]: https://github.com/stdlib-js/random/tree/main/strided/bernoulli [@stdlib/random/strided/beta]: https://github.com/stdlib-js/random/tree/main/strided/beta [@stdlib/random/strided/betaprime]: https://github.com/stdlib-js/random/tree/main/strided/betaprime [@stdlib/random/strided/chi]: https://github.com/stdlib-js/random/tree/main/strided/chi [@stdlib/random/strided/chisquare]: https://github.com/stdlib-js/random/tree/main/strided/chisquare [@stdlib/random/strided/cosine]: https://github.com/stdlib-js/random/tree/main/strided/cosine [@stdlib/random/strided/discrete-uniform]: https://github.com/stdlib-js/random/tree/main/strided/discrete-uniform [@stdlib/random/strided/exponential]: https://github.com/stdlib-js/random/tree/main/strided/exponential [@stdlib/random/strided/gamma]: https://github.com/stdlib-js/random/tree/main/strided/gamma [@stdlib/random/strided/geometric]: https://github.com/stdlib-js/random/tree/main/strided/geometric [@stdlib/random/strided/invgamma]: https://github.com/stdlib-js/random/tree/main/strided/invgamma [@stdlib/random/strided/lognormal]: https://github.com/stdlib-js/random/tree/main/strided/lognormal [@stdlib/random/strided/minstd-shuffle]: https://github.com/stdlib-js/random/tree/main/strided/minstd-shuffle [@stdlib/random/strided/minstd]: https://github.com/stdlib-js/random/tree/main/strided/minstd [@stdlib/random/strided/mt19937]: https://github.com/stdlib-js/random/tree/main/strided/mt19937 [@stdlib/random/strided/normal]: https://github.com/stdlib-js/random/tree/main/strided/normal [@stdlib/random/strided/poisson]: https://github.com/stdlib-js/random/tree/main/strided/poisson [@stdlib/random/strided/randu]: https://github.com/stdlib-js/random/tree/main/strided/randu [@stdlib/random/strided/rayleigh]: https://github.com/stdlib-js/random/tree/main/strided/rayleigh [@stdlib/random/strided/t]: https://github.com/stdlib-js/random/tree/main/strided/t [@stdlib/random/strided/uniform]: https://github.com/stdlib-js/random/tree/main/strided/uniform [@stdlib/random/strided/weibull]: https://github.com/stdlib-js/random/tree/main/strided/weibull