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