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gaussian's Issues

Documentation about sampling

The following usage example would help the user to (a) understand how 'distribution' object should be used, (b) how to sample the distribution, and (c) what is the typical purpose of ppf method:

var gaussian = require('gaussian');
var distribution = gaussian(mean, variance);
// Take a random sample
var sample = distribution.ppf(Math.random());

npm version of package does not include custom random function code

Sorry if I'm missing something obvious here. But when pulling the package from npm I find there is no custom rand function for Gaussian.random.

See here

Both npm and Github report version 1.2.0.

But on Github in gaussian.js we have:

  Gaussian.prototype.random = function(num, randFn = null){
    let mean = this.mean;
    let std = this.standardDeviation;
    return Array(num).fill(0).map(() => {
      return generateGaussian(mean,std, randFn)
    })
  };

And on npm we have

  // Generate [num] random samples
  Gaussian.prototype.random = function(num){
    let mean = this.mean;
    let std = this.standardDeviation;
    return Array(num).fill(0).map(() => {
      return generateGaussian(mean,std)
    })
  };

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