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GeomComb: (Geometric) Forecast Combination Methods
Provides eigenvector-based (geometric) forecast combination methods; also includes simple approaches (simple average, median, trimmed and winsorized mean, inverse rank method) and regression-based combination. Tools for data pre-processing are available in order to deal with common problems in forecast combination (missingness, collinearity).
Getting started
Browse package contents
Package details |
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| Author | Christoph E. Weiss, Gernot R. Roetzer |
| Maintainer | Christoph E. Weiss <info@ceweiss.com> |
| License | GPL (>= 2) |
| Version | 1.0 |
| URL | https://github.com/ceweiss/GeomComb |
| Package repository | View on CRAN |
| Installation |
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