Context 📚

This package comes with my Master Thesis in Business Analytics orientation of the Master in Management at HEC Lausanne.
I obtained the grade of 6/6.
The slides of the presentation are available here.

Objectives of the package 🎯

1. Automate the forecasting process of time series
   --> Based on historical sales data, forecasts are computed automatically.
2. Ensure a reproducible methodology.
   --> The library provides a variety of easily usable functions
3. Present the results visually and interactively
   --> This package comes with a Shiny App

The methodology includes:

• An outlier detection algorithm.
• Predictive models:
  • Time-Series: ARIMA, STLF, ETS
  • Machine Learning: Neural-Networks

Downloading the package 💿

The package can be downloaded using the following functions:

if (!require("devtools"))
  install.packages("devtools")
  
devtools::install_github("Upsylon/predictor") # install the package
library(predictor) # load the package

Utilisation 💻

The package is composed of different functions. Their objectives and utilisation is detailed in their description.