forecastHybrid
Automated ensemble forecasting with ARIMA, ETS, STLM, TBATS, and neural networks.
Pricing
See website
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
—Overview
What is forecastHybrid?
ForecastHybrid is an R package that automates the process of creating ensembles from various time series models including ARIMA, ETS, STL, TBATS, and neural networks. It simplifies cross-validation and model selection for more accurate forecasting.
Key differentiator
“ForecastHybrid stands out by automating the ensemble process, making it easier for users to leverage multiple models without manual intervention.”
Capability profile
Strength Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
Fit analysis
Who is it for?
✓ Best for
R users who need to quickly generate accurate forecasts using multiple models
Researchers and analysts looking for a streamlined approach to time series analysis
✕ Not a fit for
Users requiring real-time forecasting capabilities
Projects that require integration with non-R environments
Cost structure
Pricing
Free Tier
None
Starts at
See website
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Next step
Get Started with forecastHybrid
Step-by-step setup guide with code examples and common gotchas.