Probability-Distributions-for-PHP
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gburtini
PHP implementation of statistical probability distributions: normal distribution, beta distribution, gamma distribution and more.
When using this repo without installing it via composer it is not enough to just download all files. You also have to include then manually. Thankfully someone on Stackoverflow (https://stackoverflow.com/a/6962046)...
https://travis-ci.org/github/gburtini/Probability-Distributions-for-PHP/jobs/771441495 `PHP Fatal error: Uncaught Error: Call to undefined function each() in /vendor/phpunit/phpunit/src/Util/Getopt.php:38`
The current state of `dev-master` has some considerable changes that I have not had time to play with. I'm reluctant to mark it a new release until someone has confirmed...
References > https://stackoverflow.com/questions/15960729/abstract-class-vs-interface > https://stackoverflow.com/questions/761194/interface-vs-abstract-class-general-oo In our case Interface is a better pattern than Abstract Class.
The code for the Gamma distribution is very incomplete -- the class only basically only contains code for random number generation from a Gamma distribution. I implemented the pdf, cdf,...
When testing if an implementation probabilistically fits the expected distribution, we should be able to abstract simulatory code something like this to test probability cutoff and means. We could also...
In this package `Normal` distribution have two parameters: mean and variance. But in many mathematical programs there is mean and standard derivation used. Examples: + Matlab > https://www.mathworks.com/help/stats/prob.normaldistribution.html Parameters: mu,...
add parameter estimators for statistical distributions also average log-likilihood functions. given a set of observations, what is the avg log likilihood of them given the parameters of the distribution. then,...
