The "Modell Gesundheitsamt" written by Laura Krieger was given as it can be seen in the main branch of this repositiory. The given model was extracted, three more models and ways to analyse them were added.

This is the main script running the model. It entails all options how to run the model (retrain it, plot results, analyse results, print results of analysing, use interaction, use the autoregressive model, ...)

This is the main model, a Bayesian model based on an autoregressive design taking an interacting area into account

This is the equivalent to the main model, the orde of training is just different (this was not used in the thesis)

This is the naive implementation of the autoregressive model as shown in the thesis

This is the main model without interaction

This is the baseline model used for the analysis of the models

To prepare the data for training

The functions used to extract features from the data for the original model

The functions used to extract features from the data for the autoregressive models using the weekly mean

A collection of functions used to analyse the models

The script used to plot the regressions of the original model

The script used to plot the regressions and transformation functions of the autoregressive models

The original model written by Laura Krieger

A collection of additional functions, the ones used for the thesis are the plotting of the selection of dates to test and the plotting of the interaction proportions

The calculation of the Akaike weights to determine the best distribution