Package Exports
- @hugov/metanorm
- @hugov/metanorm/index.js
- @hugov/metanorm/parser.js
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Readme
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
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