R Observatory: Metrics for carbonpredict version 2.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

carbonpredict

2.0.1

Predict Carbon Emissions for UK SMEs

0packages depend

2.5Kdownloads / year

86.1%test coverage

13/13checks pass

Overview

About

Maintained by Hamza SulemanFirst published 2025-10-143 releasesCRAN page ↗GitHub ↗

Predict Scope 1, 2 and 3 carbon emissions for UK Small and Medium-sized Enterprises (SMEs), using Standard Industrial Classification (SIC) codes and annual turnover data, as well as Scope 1 carbon emissions for UK farms. The 'carbonpredict' package provides single and batch prediction, plotting, and workflow tools for carbon accounting and reporting. The package utilises pre-trained models, leveraging rich classified transaction data to accurately predict Scope 1, 2 and 3 carbon emissions for UK SMEs as well as identifying emissions hotspots. It also provides Scope 1 carbon emissions predictions for UK farms of types: Cereals ex. rice, Dairy, Mixed farming, Sheep and goats, Cattle & buffaloes, Poultry, Animal production and Support for crop production. The methodology used to produce the estimates in this package is fully detailed in the following peer-reviewed publications: Phillpotts, A., Owen. A., Norman, J., Trendl, A., Gathergood, J., Jobst, Norbert., Leake, D. (2025) doi:10.1111/jiec.70106 "Bridging the SME Reporting Gap: A New Model for Predicting Scope 1 and 2 Emissions" and Wells, J., Trendl, A., Owen, A., Barrett, J., Gridley, J., Jobst, N., Leake, D. (2025) doi:10.1088/1748-9326/ae20ab "A Scalable Tool for Farm-Level Carbon Accounting: Evidence from UK Agriculture".

Install

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

install.packages("carbonpredict", 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("david-leake/carbonpredict")

Development version from david-leake/carbonpredict. 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-carbonpredict

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-carbonpredict

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-carbonpredict

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

Health

CRAN checks

13OK

Slowest check: 13.6 min · r-oldrel-macos-x86_64

Code health

Yes

Tests · ratio 0.80

86.1%

Coverage · measured lines

100%

Documentation · exports

7

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 · 429 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

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

Downloads

2.5K

CRAN downloads in the past year

Rank #15,890 · ~7/day · ~205/mo

Releases R versions

Daily download trend is not available in this view yet.

17530 days

66190 days

2.5K1 year

Compare downloads with other packages →

Also on190 r2u26 autocran

Repository

GitHub ↗ david-leake/carbonpredict

1Stars

0Forks

0Open issues

0Open PRs

0Releases

47Commits

5Contributors

47 commits · Last activity 2026-01-23 · 0% stars, 30d

Stars over time

2025-09-25 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/david-leake/carbonpredict on 2026-08-16.

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

Git structural (1)

.gitattributes

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

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (7)

dplyr ggplot2 progress lmerTest networkD3 htmltools htmlwidgets

LinkingTo (0)

none

Suggests (4)

testthat mockery pnggrid

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (4)

Maintainer (1)

Hamza Suleman

Author, Maintainer, Copyright holder

Authors (4)

Hamza Suleman

Author, Maintainer, Copyright holder

David Leake

Contributor, Author

Alec Phillpotts

Contributor, Author

Jasmine Wells

Contributor, Author · added in 2.0.0

Contributors (3)

David Leake

Contributor, Author

Alec Phillpotts

Contributor, Author

Jasmine Wells

Contributor, Author · added in 2.0.0

Copyright holders (1)

Hamza Suleman

Author, Maintainer, Copyright holder

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
2.0.1Latest
2026-01-23 · current release · diff ↗
2.0.0
2025-10-29 · diff ↗
1.0.0
2025-10-14
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-10-14
Total releases: 3 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5.0
Download size: 4.6 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("carbonpredict")

Format

Suleman, H., Leake, D., Phillpotts, A., & Wells, J. (2026). carbonpredict: Predict Carbon Emissions for UK SMEs (Version 2.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.carbonpredict

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 carbonpredict version 2.0.1 [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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