forecastHybrid
Automated ensemble forecasting with ARIMA, ETS, STLM, TBATS, and neural networks.
Pricing
Free tier
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
UnverifiedOverview
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
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
ForecastHybrid is an R package and does not have equivalents or bindings for other programming languages.
Ensemble forecasting on large time series data can be computationally expensive, leading to slower processing times.
The documentation primarily covers basic usage scenarios but falls short in explaining how to handle more complex forecasting tasks or customize the models further.
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
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Integrations
Next step
Get Started with forecastHybrid
Step-by-step setup guide with code examples and common gotchas.