R Observatory: Metrics for meteoForecast version 0.57

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

meteoForecast

0.57

Numerical Weather Predictions

1packages depend

7.6Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Oscar Perpinan LamigueiroFirst published 2014-07-0713 releasesCRAN page ↗Codeberg ↗

Access to several Numerical Weather Prediction services both in raster format and as a time series for a location. Currently it works with GFS https://www.ncei.noaa.gov/products/weather-climate-models/global-forecast, MeteoGalicia https://www.meteogalicia.gal/web/modelos/threddsIndex.action, NAM https://www.ncei.noaa.gov/products/weather-climate-models/north-american-mesoscale, and RAP https://www.ncei.noaa.gov/products/weather-climate-models/rapid-refresh-update.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("meteoForecast", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-meteoforecast

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-meteoForecast

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-meteoForecast

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 5.8 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

0%

Documentation · exports

8

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
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 501 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 25%
Documented parameters: not tracked
Return-value docs: not tracked
References docs: 60%

Downloads

7.6K

CRAN downloads in the past year

Rank #7,132 · ~21/day · ~636/mo

Releases R versions

Daily download trend is not available in this view yet.

27030 days

1.2K90 days

7.6K1 year

Compare downloads with other packages →

Also on108 r2u23 autocran84 c2d4u

Repository

Codeberg ↗ oscarperpinan/meteoforecast

Repository practices

Upstream repositoryBeta

Repository codeberg.org/oscarperpinan/meteoforecast is linked, but repository-practices checks have not run for it yet. Checks are GitHub-only for now.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Depends (4)

raster sp zoo ncdf4

Imports (4)

methodsstatsutilsXML

LinkingTo (0)

none

Suggests (3)

sflatticerasterVis

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

solaR

Code & Tests

People & History

People (2)

Maintainer (1)

Oscar Perpinan Lamigueiro

Maintainer, Author

Authors (1)

Oscar Perpinan Lamigueiro

Maintainer, Author

Contributors (1)

Marcelo Pinho Almeida

Contributor · added in 0.43

Listed in earlier versions (1)

Marcelo Almeida

no longer listed · 0.31

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
0.57Latest
2025-08-25 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
0.56
2023-03-08 · diff ↗
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
0.54
2021-03-02 · diff ↗
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
0.53
2018-11-20 · diff ↗
R
R 3.5.0 released · 2018-04-23
0.52
2018-04-05 · diff ↗
R
R 3.4.0 released · 2017-04-21
0.51
2017-04-02 · diff ↗

Show 10 earlier events

0.50
2016-11-20 · diff ↗
R
R 3.3.0 released · 2016-05-03
0.49
2015-12-27 · diff ↗
0.48
2015-10-22 · diff ↗
0.47
2015-10-08 · diff ↗
0.45
2015-05-21 · diff ↗
R
R 3.2.0 released · 2015-04-16
0.43
2014-10-19 · diff ↗
0.31
2014-07-07
R
R 3.1.0 released · 2014-04-10

Package metadata

First published: 2014-07-07
Total releases: 13 / 12 yrs
License: GPL-3 OSI
Download size: 18 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("meteoForecast")

Format

Perpinan Lamigueiro, O., & Pinho Almeida, M. (2025). meteoForecast: Numerical Weather Predictions (Version 0.57) [Computer software]. https://doi.org/10.32614/CRAN.package.meteoForecast

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for meteoForecast version 0.57 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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