abbajs
A/B test analysis library in JavaScript
Table of Contents
Installation
As a Node.js module
$ npm install abbajs
As a component
$ component install thii/abbajs
Usage
Normal Distribution
Create a normal distribution analysis with Abba.NormalDistribution(mean, standardDeviation)
. Available functions are listed below.
Density
var normal = 1 2;var result = normal;// 0.19947114020071632
CDF
var normal = 1 2;var result = normal;// 0.8413447460685429
Survival function
var normal = 1 2;var result = normal;// 0.02275013194817921
Inverse CDF
var normal = 1 2;var result = normal;// 4.289707253902945
Inverse survival function
var normal = 1 2;var result = normal;// 2.3489795003921636
Binomial Distribution
Create a binomial distribution analysis with Abba.BinomialDistribution(numTrials, probability)
. Available functions are listed below.
Mass function
var binomial = 1000 03;var result = binomial;// 0.0275296327870529
CDF
var binomial = 1000 03;var result = binomial;// 0.7656417087768965
Survival function
var binomial = 1000 03;var result = binomial;// 0.002596868572741773
Inverse CDF
var binomial = 1000 03;var result = binomial;// 300
Inverse survival function
var binomial = 1000 03;var result = binomial;// 290.22571491846537
Computes Experiment
Create an experiment with Abba.Experiment(numVariations, baselineNumSuccesses, baselineNumTrials, intervalAlpha)
. Get the result of a specific test with experiment.getResults(numSuccesses, numTrials)
var experiment = 3 20 100 005;var result = experiment;/* { proportion: { value: 0.3333333333333333, lowerBound: 0.24862657323794302, upperBound: 0.4303072595809455 }, relativeImprovement: { value: 0.6666666666666665, lowerBound: -0.040933756155489553, upperBound: 1.1803459277365715 }, pValue: 0.05749442762442982 }*/
Running Tests
npm installnpm test