robjhyndman / fpp3
All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman and George Athanasopoulos <http://OTexts.org/fpp3/>. All packages required to run the examples are also loaded.
☆132Updated this week
Related projects: ⓘ
- Slides for a forecasting course based on "Forecasting: Principles and Practice"☆167Updated last year
- ☆222Updated 4 years ago
- An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms☆130Updated 4 years ago
- All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (2nd ed, 2018) by Rob J Hyndman …☆105Updated last year
- Feature Extraction And Statistics for Time Series☆291Updated this week
- Tidy time series forecasting☆559Updated this week
- Forecasting with Additive Switching of Seasonality, Trend and Exogenous Regressors☆150Updated 2 years ago
- Variable Importance Plots (VIPs)☆187Updated 10 months ago
- Parallelizable Bayesian Optimization in R☆104Updated last year
- Applied Time Series Analysis and Forecasting☆166Updated last year
- Explanatory Model Analysis. Explore, Explain and Examine Predictive Models☆179Updated 5 months ago
- ☆169Updated 11 months ago
- CRAN Task View: Anomaly Detection with R 🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛍️🛒🛒☆110Updated last year
- The set of functions used for time series analysis and in forecasting.☆89Updated this week
- Hands-On-Time-Series-Analysis-with-R☆104Updated last year
- Feature-based Forecast Model Selection (FFORMS)☆79Updated last year
- fable extension for the prophet forecasting procedure☆55Updated 11 months ago
- The Tidymodels Extension for Time Series Boosting Models☆56Updated 2 years ago
- Time series analysis in the `tidyverse`☆611Updated 3 months ago
- Slides to accompany Forecasting: Principles and Practice, 3rd edition☆55Updated 6 months ago
- R-Package for estimating CLV☆54Updated this week
- Extending broom for time series forecasting☆155Updated 8 months ago
- R package for automation of machine learning, forecasting, model evaluation, and model interpretation☆235Updated last month
- Forecast using R language. The problems are from 'Forecasting: Principles and Practice(2nd ed.)'.☆44Updated 6 years ago
- Speed Up Exploratory Data Analysis (EDA)☆132Updated 8 months ago
- Trees are all you need☆112Updated 3 months ago
- General fable features useful for extension packages☆89Updated this week
- Hierarchical and Grouped Time Series☆110Updated last month
- A central repository of Business Science presentations☆164Updated 4 years ago
- Forecast the US demand for electricity☆98Updated 2 years ago