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profoc

R Package for Probabilistic Forecast Combination

https://github.com/berrij/profoc

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ○
    codemeta.json file
  • ○
    .zenodo.json file
  • ✓
    DOI references
    Found 2 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: arxiv.org
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (12.9%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

R Package for Probabilistic Forecast Combination

Basic Info
Statistics
  • Stars: 14
  • Watchers: 1
  • Forks: 2
  • Open Issues: 1
  • Releases: 19
Created over 5 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License

README.md

The profoc Package

An R package for probabilistic forecast combination

R-hub GitHub Workflow Status (branch) Lifecycle: stable <!-- badges: end -->

The primary function online can be used to combine probabilistic forecasts using the CRPS learning algorithm introduced in Berrisch, Ziel (2021): Pre-Print, Publication. The function batch can be used in a similar way for batch optimization. Common methods like summary, print, plot, update, and predict are available.

Installation

Install from CRAN

You can install the latest stable release from CRAN using:

r install.packages("profoc")

Install from GitHub

You can install the latest stable release from GitHub using:

``` r

install.packages("remotes")

remotes::install_github("BerriJ/profoc") ```

You can install the latest development version from GitHub using:

``` r

install.packages("remotes")

remotes::install_github("BerriJ/profoc@develop") ```

Documentation

You can find the documentation at profoc.berrisch.biz.

Contributions and Issues

Feel free to raise an issue if you find something not working properly.

You are very welcome to contribute to profoc. Please base your pull requests on the develop branch.

License

GNU General Public License (≥ 3)

Owner

  • Name: Jonathan Berrisch
  • Login: BerriJ
  • Kind: user
  • Location: Wuppertal, Germany
  • Company: University of Duisburg-Essen

Data Scientist, Ph.D. Student and Unix Nerd.

GitHub Events

Total
  • Watch event: 1
Last Year
  • Watch event: 1

Committers

Last synced: about 1 year ago

All Time
  • Total Commits: 557
  • Total Committers: 2
  • Avg Commits per committer: 278.5
  • Development Distribution Score (DDS): 0.002
Past Year
  • Commits: 13
  • Committers: 1
  • Avg Commits per committer: 13.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Jonathan Berrisch j****n@b****z 556
Wenjie Wang w****g@w****g 1
Committer Domains (Top 20 + Academic)
wwenjie.org: 1 berrisch.biz: 1

Issues and Pull Requests

Last synced: 12 months ago

All Time
  • Total issues: 4
  • Total pull requests: 29
  • Average time to close issues: about 18 hours
  • Average time to close pull requests: 14 days
  • Total issue authors: 2
  • Total pull request authors: 2
  • Average comments per issue: 2.5
  • Average comments per pull request: 0.21
  • Merged pull requests: 21
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 2
  • Pull requests: 3
  • Average time to close issues: N/A
  • Average time to close pull requests: 2 days
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • wenjie2wang (1)
  • BerriJ (1)
Pull Request Authors
  • BerriJ (18)
  • wenjie2wang (1)
Top Labels
Issue Labels
upkeep (1) Develop-Released (1) CRAN-Released (1)
Pull Request Labels
enhancement (2) Develop-Released (1)

Packages

  • Total packages: 1
  • Total downloads:
    • cran 290 last-month
  • Total docker downloads: 20,358
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 19
  • Total maintainers: 1
cran.r-project.org: profoc

Probabilistic Forecast Combination Using CRPS Learning

  • Versions: 19
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 290 Last month
  • Docker Downloads: 20,358
Rankings
Downloads: 21.6%
Average: 28.9%
Dependent packages count: 29.8%
Dependent repos count: 35.5%
Maintainers (1)
Jonathan@Berrisch.biz
Last synced: 11 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.0.2 depends
  • Matrix * imports
  • Rcpp >= 1.0.5 imports
  • abind * imports
  • methods * imports
  • gamlss.dist * suggests
  • ggplot2 * suggests
  • testthat >= 3.0.0 suggests
.github/workflows/R-CMD-check-Dev.yaml actions
  • actions/checkout v3 composite
  • actions/upload-artifact main composite
  • r-lib/actions/check-r-package v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/R-CMD-check.yaml actions
  • actions/checkout v3 composite
  • actions/upload-artifact main composite
  • r-lib/actions/check-r-package v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/pkgdown.yaml actions
  • actions/cache v2 composite
  • actions/checkout v3 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite