metanorm

random number generator for specified confidence interval, median and bounds 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 {default as meta, parse} from './index.js'

const a = meta(1, 4, {ci:0.5})(),        // normal distribution with 50% of values between 1 and 4
      b = parse`1 4 @50%`,                // same as above
      c = meta(1, 4, {min:0}, 0.9)(),    // lognormal distribution with 90% of values between 1 and 4 (lower bound at 0)
      d = parse`[0 1 4 @.9`               // same as above
      e = meta(1, 2, 4)(),               // an unbounded skewed infinite distribution with a median at 2
      f = parse`1 2 4`(),                 // same as above
      g = parse`[0 10% 90% 1]`            // distribution 'close' to a uniform distribution

API

Arguments | Returns | Notes :-------- | :------ | :---- ...points [,{min, max, ci=.8}] | rndNumberGenerator | 0 to 3 points

Arguments | Notes :-------- | :---- [min] | Optional, a lower bound [max] | Optional, an upper bound [ci=0.8] | Optional, The confidence interval, defaults to 80%

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

Where zSeed is an optional unit normal distribution number

License

MIT © Hugo Villeneuve