Akai01/caretForecast: Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms
Conformal time series forecasting using the caret infrastructure. It provides access to state-of-the-art machine learning models for forecasting applications. The hyperparameter of each model is selected based on time series cross-validation, and forecasting is done recursively.
Getting started
Browse package contents
Package details |
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| Maintainer | |
| License | GPL (>= 3) |
| Version | 0.1.1 |
| URL | https://github.com/Akai01/caretForecast |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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