Random   

Install via npm

``shell
$ npm install rng
`




Install via component

`shell
$ component install jhermsmeier/rng.js
`




Install via bower

`shell
$ bower install rng
`




Usage

$3

`javascript
// Require the module
var Random = require( 'rng' )
// Instantiate a new Mersenne Twister with a seed
var mt = new Random.MT( seed )
// ...
`




$3

`html






`

`javascript
// RNG.js exports the global Random, so you're good to go.
// Instantiate a new Mersenne Twister with a seed
var mt = new Random.MT( seed )
`




API

$3


Base class using Math.random() as PRNG.
All other classes inherit from RNG().

#### Methods

Number next()
Get a random byte [0,255]

Number random()
Same as uniform(), just to be compatible with the Math.random() style API

Number uniform()
Get a uniform random number between 0 and 1

Number normal()
Get normally distributed number, with a mean 0, variance 1

Number range( min, max )
Get random integer in range [min,max]

Number exp()
Get exponentionally distributed number with lambda 1

Number poisson( mean )
Get poisson distributed number, the mean defaulting to 1

Number gaussian( a )`
Get gamma distributed number, using uniform, normal and exp with the Marsaglia-Tsang method

Algorithms

$3

$3

$3

#### Not (yet?) implemented:

- ISAAC - ISAAC (indirection, shift, accumulate, add, count)
- MWC - Multiply-With-Carry
- CMWC - Complementary-Multiply-With-Carry
- LCG - Linear Congruential Generator
- ICG - Inversive Congruential Generator
- LFG - Lagged Fibonacci Generator
- LFSR - Linear Feedback Shift Register
- NRPF - Naor-Reingold Pseudorandom Function
- BBS - Blum Blum Shub