R Observatory: Metrics for rmweather version 0.2.63

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

rmweather

0.2.63

Tools to Conduct Meteorological Normalisation and Counterfactual Modelling for Air Quality Data

0packages depend

7.1Kdownloads / year

39.3%test coverage

13/13checks pass

Overview

About

Maintained by Stuart K. GrangeFirst published 2018-05-0811 releasesCRAN page ↗GitHub ↗

An integrated set of tools to allow data users to conduct meteorological normalisation and counterfactual modelling for air quality data. The meteorological normalisation technique uses predictive random forest models to remove variation of pollutant concentrations so trends and interventions can be explored in a robust way. For examples, see Grange et al. (2018) doi:10.5194/acp-18-6223-2018 and Grange and Carslaw (2019) doi:10.1016/j.scitotenv.2018.10.344. The random forest models can also be used for counterfactual or business as usual (BAU) modelling by using the models to predict, from the model's perspective, the future. For an example, see Grange et al. (2021) doi:10.5194/acp-2020-1171.

Install

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

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

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

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("skgrange/rmweather")

Development version from skgrange/rmweather. Installs pak first if it is not already available.

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-rmweather

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-rmweather

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-rmweather

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

Health

CRAN checks

13OK

Slowest check: 4.0 min · r-release-macos-x86_64

Code health

Yes

Tests · ratio 0.16

39.3%

Coverage · measured lines

96%

Documentation · exports

13

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
OK2026-06-08
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
WARNING2026-06-07
12 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 73%
Documented parameters: 100%
Return-value docs: 95%
References docs: 0%

Downloads

7.1K

CRAN downloads in the past year

Rank #7,307 · ~19/day · ~589/mo

Releases R versions

Daily download trend is not available in this view yet.

17930 days

1.2K90 days

7.1K1 year

Compare downloads with other packages →

Also on108 r2u15 autocran

Repository

GitHub ↗ skgrange/rmweather

56Stars

7Forks

0Open issues

0Open PRs

0Releases

151Commits

2Contributors

License GPL-3.0 · 151 commits · Last activity 2025-12-03 · 0% stars, 30d

Stars over time

2025-05-14 · 522026-07-07 · 56

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/skgrange/rmweather on 2026-08-16.

Continuous integration (1)

GitHub Actions

CRAN release process (1)

cran-comments.md

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

Dependencies

Declared dependencies

15 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.2.0

Imports (13)

dplyr ggplot2 lubridate magrittr pdp purrr (>= 1.0.0)ranger stringr strucchange tibble viridis tidyr cli

LinkingTo (0)

none

Suggests (2)

testthat openair

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)

Maintainer (1)

Stuart K. Grange

Maintainer, Author

Authors (1)

Stuart K. Grange

Maintainer, Author

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
0.2.63Latest
2025-08-22 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
0.2.62
2025-02-21 · diff ↗
0.2.6
2024-06-04 · diff ↗
R
R 4.4.0 released · 2024-04-24
0.2.5
2023-11-21 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.2.4
2022-11-08 · diff ↗
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
0.1.51
2020-06-15 · diff ↗
0.1.5
2020-06-08 · diff ↗
0.1.4
2020-05-26 · diff ↗
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26

Show 4 earlier events

0.1.3
2018-11-12 · diff ↗
0.1.2
2018-07-16 · diff ↗
0.1.1
2018-05-08
R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2018-05-08
Total releases: 11 / 8 yrs
License: GPL-3 | file LICENSE OSI
Minimum R: ≥ 3.2.0
Bundled data: 223 KB / 3 files
Download size: 400 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("rmweather")

Format

Grange, S. K. (2025). rmweather: Tools to Conduct Meteorological Normalisation and Counterfactual Modelling for Air Quality Data (Version 0.2.63) [Computer software]. https://doi.org/10.32614/CRAN.package.rmweather

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 rmweather version 0.2.63 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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