forecastHybrid

What it is

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.

ForecastHybrid stands out by automating the ensemble process, making it easier for users to leverage multiple models without manual intervention.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited to R users, not accessible for developers in other languages

   ForecastHybrid is an R package and does not have equivalents or bindings for other programming languages.

2. 02

   Performance issues with large datasets

   Ensemble forecasting on large time series data can be computationally expensive, leading to slower processing times.

3. 03

   Documentation lacks depth and examples for advanced use cases

   The documentation primarily covers basic usage scenarios but falls short in explaining how to handle more complex forecasting tasks or customize the models further.

What it does well

• Automated ensemble forecasting

• Cross-validation of multiple models

• Support for ARIMA, ETS, STL, TBATS, and neural networks

• Simplified model selection process

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.