# 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](#example) • [API](#api) • [License](#license) ## Example ```javascript 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](http://www.opensource.org/licenses/MIT) © [Hugo Villeneuve](https://github.com/hville)