avisionh / predictgraduateprospects

Applies Bayesian techniques for analysing various factors that can influence a UK university's graduate prospects rating from the HESA SFR247 and Complete University Guide table.

Objective

• The aim of this project is to experiment with Bayesian statistics as a method of analysis.

Points to note

• It compares a frequentist multiple linear regression against a Bayesian linear regression.
• Also adopts reproducible analytical pipeline (RAP) principles to ensure that other people can obtain the same outputs when running the code.

Installation

Ensure you have jags installed before running this code. For macOS, you can do so via homebrew:

brew install jags

Further troubleshooting can be found here.