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