Introduction

This is a collection of R code written for the purposes of practice and demonstration. At the moment this is all in a work in progress stage. The long-term goal is to include lots of statistical models and machine learning algorithms, covering model estimation and data reduction. I may also include some other interesting algorithms down the line.

Beyond giving me both a venue for solidifying my understanding and acting as a sort of online advert for my skillset, I also hope that this document will end up being of use to some other people.

I’m inspired by a similar project by Michael Clark, which you can find at this link. The code here is my own, but the inspiration should be clear. The main difference from Michael’s document to mine is that I’m placing more emphasis on building more ‘complete’ functions - i.e. they should be workable beyond the example being provided. There’s therefore slightly more of a programming emphasis in this document and it’s this niche that this document fills.