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PointFore

0.2.1

Interpretation of Point Forecasts as State-Dependent Quantiles and Expectiles

0packages depend
2.3Kdownloads / year
45.8%test coverage
13/13checks pass

Overview

About
Maintained by Patrick SchmidtFirst published 2019-02-222 releasesCRAN page ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 5.1 min · r-oldrel-macos-x86_64
Code health
Yes
Tests · ratio 0.02
45.8%
Coverage · measured lines
100%
Documentation · exports
6
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-07-27
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-06-09
    0 OK · 13 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    0 OK · 12 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 1 earlier snapshots
  • NOTE2026-03-10
    0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 176 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
80%
References docs
0%

Downloads

2.3K
CRAN downloads in the past year
Rank #16,293 · ~6/day · ~194/mo
Daily download trend is not available in this view yet.
19330 days
64990 days
2.3K1 year
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Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.2.0
Imports (6)
gmmbootggplot2MASSstatssandwich
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 0.2.1Latest
    2026-07-21 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.0
    2026-03-10
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2019-02-22
Total releases
2 / 7 yrs
License
CC0
Minimum R
≥ 3.2.0
Bundled data
30 KB / 2 files
Download size
136 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("PointFore")
Schmidt, P. (2026). PointFore: Interpretation of Point Forecasts as State-Dependent Quantiles and Expectiles (Version 0.2.1) [Computer software]. https://doi.org/10.32614/CRAN.package.PointFore

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for PointFore version 0.2.1 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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