xavierkamp/tsForecastR: Forecasting with Traditional Time Series and Machine Learning Models
Functions and tools to facilitate the use of traditional time series and machine learning models to generate forecasts on univariate or multvariate data. To identify the best performing models, different backtesting scenarios are available.
Getting started
Browse package contents
Package details |
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| Author | Xavier Kamphaus |
| Maintainer | The package maintainer <yourself@somewhere.net> |
| License | GPL-3 |
| Version | 0.1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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