grosso-modo

random number generator for specified confidence interval note that this uses a gaussian Z as seed and not the usual uniform U to facilitate the generation of correlated variables

• Example • API • License

Example

import {norm, logn} from 'grosso-modo'

const n = norm(2, 4)(),      // normal distribution with 50% of values between 2 and 4
      l = logn(2, 4, 0.9)(), // lognormal distribution with 90% of values between 2 and 4

API

All distribution take lower and upper bounds along with a probability confidence interval that defaults to 50%.

Method	Arguments	Returns	Notes
.norm	low, high [,prob]	rndNumberGenerator	Normal distribution
.logn	low, high [,prob]	rndNumberGenerator	Lognormal distribution
.uniform	low, high [,prob]	rndNumberGenerator	Uniform distribution
.weibull	low, high [,prob]	rndNumberGenerator	Weibull distribution
.step	fail,succ [,prob]	rndNumberGenerator	Bernouilli trial P(X == succ)
.dice	min, max	rndNumberGenerator	Uniform discrete distribution
.dagum	low, high [,prob]	rndNumberGenerator	Dagum distribution of shape p=1
.gumbel	low, high [,prob]	rndNumberGenerator	Gumbel distribution

Returned Function	Arguments	Returns	Notes
rndNumberGenerator	[zSeed]	Number	Random number

Where zSeed is an optional unit normal distribution number

License

MIT © Hugo Villeneuve