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Simulating Forest Growth using the 3-PG Model

0packages depend
3.3Kdownloads / year
85.4%test coverage
13/13flavors OK

Overview

About

Provides a flexible and easy-to-use interface for the Physiological Processes Predicting Growth (3-PG) model written in Fortran. The r3PG serves as a flexible and easy-to-use interface for the 3-PGpjs (monospecific, evenaged and evergreen forests) described in Landsberg & Waring (1997) doi:10.1016/S0378-1127(97)00026-1 and the 3-PGmix (deciduous, uneven-aged or mixed-species forests) described in Forrester & Tang (2016) doi:10.1016/j.ecolmodel.2015.07.010.

Install

Health

CRAN checks
13OK
Slowest check: 2.7 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.6
README· In the repository, left out of the releaseVignettesYes · 1 · staticNEWS· In the repository, left out of the releaseCitation fileNo
Help pages
20includes a package overview page
Examples that run
100%10 run in a plain check
Exported functions with examples
69%
Documented parameters
83%
Return-value docs
69%
Help pages citing references
15%

Downloads

3.3K
CRAN downloads in the past year
Rank #14,571 · ~9/day · ~271/mo
Daily download trend is not available in this view yet.
30430 days
82090 days
3.3K1 year
Compare downloads with other packages →
Also on346 r2u10 autocran

Repository

36Stars
18Forks
3Open issues
0Open PRs
7Releases
239Commits
5Commit identities
License file reads as GPL-3.0 · 239 commits · Last activity 2024-05-22 · 0% stars, 30d · Default branch at 0.1.7, ahead of CRAN 0.1.6 (checked 2026-10-21)
Responsiveness
How these are sampled
PRs merged (all time)
86%
Median days to close, 50 most recently updated closed issues
27
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-09-16 · 312026-07-07 · 36
PracticesBeta

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

Checks run against github.com/trotsiuk/r3pg on 2026-10-21.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (1)

GitHub Pages site last deployed 2024-05-22

Reproducibility and dev environment (1)
data-raw/
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)

Installing r3PG adds no packages beyond those that come with R.

Depends (1)
R >= 3.5.0
Imports (0)
none
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Author, Maintainer since 0.1.0 (2020)
Author · added in 0.1.4
Releases (7)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.6Latest
    record
    2023-09-19 · current release · diff ↗
  • 0.1.5
    record
    2023-07-04 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.4
    record
    2022-05-19 · diff ↗ ·
    added 7 exports
    get_parameters, i_output, i_parameters, i_parameters_lit, i_sizeDist, prepare_site, prepare_species
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.3
    record
    2021-02-20 · diff ↗
  • 0.1.2
    record
    2020-06-03 · diff ↗
  • 0.1.1
    record
    2020-05-19 · diff ↗
  • 0.1.0
    record
    2020-05-11
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-05-11
Total releases
7 / 6 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
9.6 KB / 6 files
Download size
424 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("r3PG")
Trotsiuk, V., Forrester, D., Hartig, F., & Silveyra Gonzalez, R. (2023). r3PG: Simulating Forest Growth using the 3-PG Model (Version 0.1.6) [Computer software]. https://doi.org/10.32614/CRAN.package.r3PG

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for r3PG version 0.1.6 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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