GREENeR

1.0.2

Geospatial Regression Equation for European Nutrient Losses (GREEN)

0packages depend

4.2Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by C. AlfaroFirst published 2022-01-277 releasesCRAN page ↗GitHub ↗

Tools and methods to apply the model Geospatial Regression Equation for European Nutrient losses (GREEN); Grizzetti et al. (2005) doi:10.1016/j.jhydrol.2004.07.036; Grizzetti et al. (2008); Grizzetti et al. (2012) doi:10.1111/j.1365-2486.2011.02576.x; Grizzetti et al. (2021) doi:10.1016/j.gloenvcha.2021.102281.

Install

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

install.packages("GREENeR", 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("calfarog/GREENeR")

Development version from calfarog/GREENeR. 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-greener

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-GREENeR

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-GREENeR

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

Health

CRAN checks

13OK

Slowest check: 11.0 min · r-devel-linux-x86_64-fedora-clang

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

Dependencies · direct

Check history

OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-04-30
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-21
11 OK · 0 NOTE · 0 WARNING · 3 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 718 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 11%
Documented parameters: 100%
Return-value docs: 100%
References docs: 2%

Downloads

4.2K

CRAN downloads in the past year

Rank #6,577 · ~12/day · ~354/mo

Releases R versions

Daily download trend is not available in this view yet.

35330 days

1.5K90 days

4.2K1 year

Compare downloads with other packages →

Also on132 r2u31 autocran

Repository

GitHub ↗ calfarog/greener

1Stars

0Forks

1Open issues

0Open PRs

1Releases

71Commits

3Contributors

rgeospatialnutrientcalibrationplots

License GPL-3.0 · 71 commits · Last activity 2026-04-27

Stars over time

2022-07-07 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

5 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/calfarog/greener on 2026-07-19.

Continuous integration (1)

GitHub Actions

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

14 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.1

Imports (14)

FME data.table reshape2 ggplot2graphicssf dplyr magrittr tmap gridExtra (>= 2.3)classIntgrDevicesnetworkD3 (>= 0.4)parallelly

LinkingTo (0)

none

Suggests (3)

knitr rmarkdowncodetools

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Code Composition

R 3,520 (58%)Rd 1,743 (29%)Vignettes 709 (12%)Other 128 (2%)

Code characteristics

Cyclomatic complexity: 2.0 median / 9 max

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

60 23 exported

Complexity

2.4 avg / 9 max

Call network

60 nodes / 57 edges

Call graph

Open call graph →

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Datasets

Bundled datasets · 4

Name	Class	Rows × Cols	Also ships in
annual_data_TN	data.frame	5,481 × 14	–
annual_data_TP	data.frame	5,481 × 12	–
catch_data_TN	data.frame	189 × 5	–
catch_data_TP	data.frame	189 × 5	–

People & History

People (6)

Maintainer (1)

C. Alfaro

Author, Maintainer

Authors (6)

Author, Maintainer

Author

Author

Author

Author

Author

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
1.0.2Latest
2026-04-22 · current release · diff ↗
1.0.1
2026-02-11 · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
1.0.0
2024-02-01 · diff ↗
0.1.3
2023-11-17 · diff ↗
unarchivedReturned to CRAN
2023-11-16
archivedRemoved from CRAN
2023-10-31
check problems were not corrected in time
R
R 4.3.0 released · 2023-04-21
0.1.2
2023-04-03 · diff ↗
unarchivedReturned to CRAN
2023-04-03
archivedRemoved from CRAN
2023-03-27
issues were not corrected in time
0.1.1
2022-09-07 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.1.0
2022-01-27

Show 1 earlier events

R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2022-01-27
Total releases: 7 / 4 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.1
Bundled data: 212 KB / 5 files
Download size: 2.4 MB
Installed size: not tracked yet
With dependencies: not tracked yet

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