gaussian

A JavaScript model of the Normal
(or Gaussian) distribution. To install run npm install free-gaussian

API

javascript
var gaussian = require('free-gaussian');
var distribution = gaussian(mean, variance);


$3

-

mean

: the mean (μ) of the distribution
-

variance

: the variance (σ^2) of the distribution
-

standardDeviation

: the standard deviation (σ) of the distribution
$3

-

pdf(x)

: the probability density function, which describes the probability
  of a random variable taking on the value _x_
-

cdf(x)

: the cumulative distribution function, which describes the
  probability of a random variable falling in the interval (−∞, _x_]
-

ppf(x)

: the percent point function, the inverse of _cdf_
$3

-

mul(d)

: returns the product distribution of this and the given distribution. If a constant is passed in the distribution is scaled.
-

div(d)

: returns the quotient distribution of this and the given distribution. If a constant is passed in the distribution is scaled by 1/d.
-

add(d)

: returns the result of adding this and the given distribution
-

sub(d)

: returns the result of subtracting this and the given distribution
-

scale(c)`: returns the result of scaling this distribution by the given constant

This is a modified version of errcw's library
with some additional features and a cleaned up code base.