A collection of probability distribution functions
npm install distributions
var distributions = ;var normal = distributions;console; // 0.199...console; // 0.5console; // Infiniyconsole; // 1console; // 1console; // 4
All distributions in this module takes some or no arguments and can have a default value. They are also created by calling the constructor:
// both do the samevar uniform = distributions;var uniform = -2 2;
The instance then has 3 probability functions:
var y = uniform; // probability density functionvar p = uniform; // cumulative distribution functionvar q = uniform; // quantile function
and also 3 general methods for the median, mean and variance:
The currently implemented distributions are listed bellow.
Uniform(a = 0, b = 1)- The Uniform Distribution
Create a uniform distribution, with a range from
b. Note that
uniform.inv(p) will return
NaN outside the range from
uniform.inv(0) == a and
uniform.inv(1) == b.
Normal(mean = 0, sd = 1)- The Normal Distribution
Create a normal distribution, with a custom mean (
mean) and standard deviation
Studentt(df)- The Student t Distribution
Create a student t distribution, with a degree of freedom set to
Binomial(properbility, size)- The Binomial Distribution
Create a binomial distribution, with a a given
properbility of success and
All functions are tested by comparing with a mathematical reference either MatLab, Maple or R.
The software is license under "MIT"
Copyright (c) 2013 Andreas Madsen
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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