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PointFore: Interpretation of Point Forecasts as State-Dependent Quantilesand Expectiles

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
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 <pschmidte at gmail.com>
License:CC0
NeedsCompilation:no
Language:en-US
Materials:README
CRAN checks:PointFore results

Documentation:

Reference manual:PointFore.html ,PointFore.pdf
Vignettes:GDP Greenbook (source,R code)
Precipitation (source,R code)
Tutorial for PointFore (source,R code)

Downloads:

Package source: PointFore_0.2.0.tar.gz
Windows binaries: r-devel:PointFore_0.2.0.zip, r-release:PointFore_0.2.0.zip, r-oldrel:PointFore_0.2.0.zip
macOS binaries: r-release (arm64):PointFore_0.2.0.tgz, r-oldrel (arm64):PointFore_0.2.0.tgz, r-release (x86_64):PointFore_0.2.0.tgz, r-oldrel (x86_64):PointFore_0.2.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=PointForeto link to this page.


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