The MDFA package generalizes classic time series approaches to forecasting and signal extraction. It allows the user to specify research priorities by decomposing the classic mean-square criterion into Accuracy, Smoothness and Timeliness terms: ATS-Trilemma. It gives access to novel regularization features for tackling overfitting. An extension to mixed-frequency data is provided as well as formal treatment of non-stationarity (unit-roots, cointegration).
Package details |
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Maintainer | Who to complain to <yourfault@somewhere.net> |
License | GPL-2 |
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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