free-gaussian
A JavaScript model of a Gaussian distribution
npm install free-gaussian
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Last Published By | |
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Version | 0.1.0 last updated 11 months ago |
License | MIT |
Keywords | gaussian, normal, distribution, stats, statistics |
Repository | https://github.com/freethenation/gaussian.git (git) |
Homepage | https://github.com/freethenation/gaussian |
Dependencies | None |
Dependents | trueskill |
gaussian
A JavaScript model of the Normal
(or Gaussian) distribution. To install run npm install free-gaussian
API
Creating a Distribution
var gaussian = require('free-gaussian');
var distribution = gaussian(mean, variance);
Properties
mean
: the mean (μ) of the distributionvariance
: the variance (σ^2) of the distributionstandardDeviation
: the standard deviation (σ) of the distribution
Probability Functions
pdf(x)
: the probability density function, which describes the probability of a random variable taking on the value xcdf(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
Combination Functions
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 distributionsub(d)
: returns the result of subtracting this and the given distributionscale(c)
: returns the result of scaling this distribution by the given constant
History
This is a modified version of errcw's library with some additional features and a cleaned up code base.