R Observatory: Metrics for rmweather version 0.2.63

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

rmweather

0.2.63Package record

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

0packages depend

6.2Kdownloads / year

39.3%test coverage

13/13flavors OK

Overview

About

Maintained by Stuart K. GrangeCRAN page ↗GitHub ↗Issues ↗

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. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

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

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-08
WARNING12 OK, 1 WARNING2026-06-07
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.63

README· In the repository, left out of the releaseVignettesNoNEWS· In the repository, left out of the releaseCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Help pages: 30
Examples that run: 73%11 run in a plain check · 4 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 52%
Documented parameters: 100%
Return-value docs: 95%
Help pages citing references: 0%

How these are measured

Downloads

6.2K

CRAN downloads in the past year

Rank #8,268 · ~17/day · ~519/mo

Releases R versions

Daily download trend is not available in this view yet.

39230 days

1.1K90 days

6.2K1 year

Compare downloads with other packages →

Also on69 r2u6 autocran

How downloads are counted

Repository

skgrange/rmweather ↗Account: skgrange

56Stars

7Forks

0Open issues

0Open PRs

0Releases

151Commits

2Commit identities

License file reads as GPL-3.0 · 151 commits · Last activity 2025-12-03 · 0% stars, 30d · Default branch at 0.2.64, ahead of CRAN 0.2.63 (checked 2026-10-22)

Responsiveness

How these are sampled

PRs merged (all time): not measured
Median days to close, 50 most recently updated closed issues: 6
Median days to close, 50 most recently updated closed PRs: not measured

Stars over time

2025-09-26 · 542026-07-07 · 56

How these are measured

PracticesBeta

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

Checks run against github.com/skgrange/rmweather on 2026-10-22.

Continuous integration (1)

GitHub Actions

CRAN release process (1)

cran-comments.md

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

15 external dependencies (excludes base and recommended)

Installing rmweather adds 41 packages (23 with compiled code, 40 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, viridis 2.9 MB.

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.

How these are counted

Code & Tests

Datasets

People & History

People (1)

Stuart K. Grange

Maintainer since 0.1.1 (2018), Author

Releases (11)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
0.2.63Latest
record
2025-08-22 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
0.2.62
record
2025-02-21 · diff ↗
0.2.6
record
2024-06-04 · diff ↗ ·
added 1 export
rmw_normalise_nested_sets
R
R 4.4.0 released · 2024-04-24
0.2.5
record
2023-11-21 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.2.4
record
2022-11-08 · diff ↗ ·
added 6 exports
rmw_calculate_model_errors, rmw_model_nested_sets, rmw_nest_for_modelling, rmw_predict_nested_partial_dependencies, rmw_predict_nested_sets, rmw_predict_nested_sets_by_year
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
0.1.51
record
2020-06-15 · diff ↗
0.1.5
record
2020-06-08 · diff ↗
0.1.4
record
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 eventsHide 4 earlier events

0.1.3
record
2018-11-12 · diff ↗
0.1.2
record
2018-07-16 · diff ↗
0.1.1
record
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

Cite

Cite this package

Run in R for the authors' entry:

citation("rmweather")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.5194/acp-18-6223-2018, 10.1016/j.scitotenv.2018.10.344, 10.5194/acp-21-4169-2021, 10.5194/acp-2020-1171.

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 v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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