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modeltime.ensemble: Ensemble Algorithms for Time Series Forecasting with Modeltime
A 'modeltime' extension that implements time series ensemble forecasting methods including model averaging, weighted averaging, and stacking. These techniques are popular methods to improve forecast accuracy and stability. Refer to papers such as "Machine-Learning Models for Sales Time Series Forecasting" Pavlyshenko, B.M. (2019) <doi:10.3390>.
Getting started
Browse package contents
Package details |
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| Author | Matt Dancho [aut, cre], Business Science [cph] |
| Maintainer | Matt Dancho <mdancho@business-science.io> |
| License | MIT + file LICENSE |
| Version | 1.0.3 |
| URL | https://github.com/business-science/modeltime.ensemble |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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