tylerJPike/OOS: Out-of-Sample Time Series Forecasting
A comprehensive and cohesive API for the out-of-sample forecasting workflow: data preparation, forecasting - including both traditional econometric time series models and modern machine learning techniques - forecast combination, model and error analysis, and forecast visualization.
Getting started
Browse package contents
Package details |
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| Maintainer | |
| License | GPL-3 |
| Version | 1.0.0 |
| URL | https://github.com/tylerJPike/OOS https://tylerjpike.github.io/OOS/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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