PointFore: Interpretation of Point Forecasts as State-Dependent Quantiles and Expectiles (original) (raw)
Estimate specification models for the state-dependent level of an optimal quantile/expectile forecast. Wald Tests and the test of overidentifying restrictions are implemented. Plotting of the estimated specification model is possible. The package contains two data sets with forecasts and realizations: the daily accumulated precipitation at London, UK from the high-resolution model of the European Centre for Medium-Range Weather Forecasts (ECMWF, <https://www.ecmwf.int/>) and GDP growth Greenbook data by the US Federal Reserve. See Schmidt, Katzfuss and Gneiting (2015) <doi:10.48550/arXiv.1506.01917> for more details on the identification and estimation of a directive behind a point forecast.
Version: | 0.2.0 |
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Depends: | R (≥ 3.2.0) |
Imports: | gmm, boot, car, ggplot2, MASS, stats, lubridate, sandwich |
Suggests: | knitr, rmarkdown, testthat, spelling |
Published: | 2019-02-22 |
DOI: | 10.32614/CRAN.package.PointFore |
Author: | Patrick Schmidt [aut, cre] |
Maintainer: | Patrick Schmidt |
License: | CC0 |
NeedsCompilation: | no |
Language: | en-US |
Materials: | README |
CRAN checks: | PointFore results |
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