CRAN/E | PointFore

PointFore

Interpretation of Point Forecasts as State-Dependent Quantiles and Expectiles

Installation

About

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, ) and GDP growth Greenbook data by the US Federal Reserve. See Schmidt, Katzfuss and Gneiting (2015) for more details on the identification and estimation of a directive behind a point forecast.

Key Metrics

Version 0.2.0
R ≥ 3.2.0
Published 2019-02-22 1896 days ago
Needs compilation? no
License CC0
CRAN checks PointFore results
Language en-US

Downloads

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Last 30 days 142 +6%
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Last 365 days 1.730 -21%

Maintainer

Maintainer

Patrick Schmidt

pschmidte@gmail.com

Authors

Patrick Schmidt

aut / cre

Material

README
Reference manual
Package source

Vignettes

GDP Greenbook
Precipitation
Tutorial for PointFore

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.2.0

Imports

gmm
boot
car
ggplot2
MASS
stats
lubridate
sandwich

Suggests

knitr
rmarkdown
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