All of the findings, models, and graphs discussed in our writeup can be reproduced using scripts from this repository. The following are a few guidelines to make sure you can run our code with minimal effort:
- Clone or download the project to your desktop, unzip if neccesary
- Within R, set the working directory to
setwd("stat626_project location") - Load the seasonally adjusted dataset
load("Data/Data_Prep.rda") RScripts/All_Final_Models.Rcreates the ARIMA and VAR modelsRScripts/Preso_Plots.Rcreates all of the plots used in the write up.
- Data:
- Literature:
- Plots:
- Preso_Plots:
- Data_Exploration:
- RScripts:
- Archives:
- Writeups:
| Team Members | Responsibilities |
|---|---|
| Joseph Blubaugh: | Plots, Data Prep, Code Management, Modeling |
| Alison Shelton: | Write-up, Plot Revision, LaTeX Management, Literature |
| Sean Roberson: | Presenter, Talking Points, Literature |
| Travis Lilley: | Model Diagnostics, Statistical Tests, Modeling, Abstract |
| Akarshan Puri: | Modeling and Diagnostics |
| Bo pang: | Modeling and Diagnostics |