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Simulate Forest Resources with the European Forestry Dynamics Model

0packages depend
3.9Kdownloads / year
84.5%test coverage
13/13flavors OK

Overview

About

An implementation of European Forestry Dynamics Model (EFDM) and an estimation algorithm for the transition probabilities. The EFDM is a large-scale forest model that simulates the development of the forest and estimates volume of wood harvested for any given forested area. This estimate can be broken down by, for example, species, site quality, management regime and ownership category. See Packalen et al. (2015) doi:10.2788/153990.

Install

Health

CRAN checks
13OK
Slowest check: 2.2 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-05-03
  • ERROR13 OK, 1 ERROR2026-04-23
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.2.3
READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNo
Help pages
7
Examples that run
100%4 run in a plain check
Exported functions with examples
80%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

3.9K
CRAN downloads in the past year
Rank #10,308 · ~11/day · ~325/mo
Daily download trend is not available in this view yet.
38630 days
98490 days
3.9K1 year
Compare downloads with other packages →
Also on593 r2u3 autocran

Repository

2Stars
1Forks
0Open issues
0Open PRs
0Releases
58Commits
1Commit identities
58 commits · Last activity 2026-02-05 · 0% stars, 30d · The default branch showed an older version (0.2.2) than CRAN on 2026-10-18
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
8
Median days to close, 50 most recently updated closed PRs
not measured

Stars over time

2025-06-23 · 12026-07-07 · 2
PracticesBeta

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

Checks run against github.com/mikkoku/efdm on 2026-10-18.

Docs source (1)

GitHub Pages site last deployed 2021-12-22

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

Installing efdm adds 1 package (1 with compiled code, 5.7 MB of source tarballs). Heaviest: data.table 5.7 MB.

Depends (1)
R >= 2.10
Imports (3)
statsutilsdata.table
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 0.1.0 (2021)
Releases (5)

Pick two releases to compare their code metrics.

  • 0.2.3Latest
    record
    2026-04-27 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.2
    record
    2026-02-05 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.2.1
    record
    2023-08-17 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.2.0
    record
    2022-01-10 · diff ↗ ·
    removed 2 exports
    build_complex_statespace, build_statespace
  • 0.1.0
    record
    2021-08-16
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-08-16
Total releases
5 / 5 yrs
License
GPL-2 OSI
Minimum R
≥ 2.10
Bundled data
128 KB / 2 files
Download size
198 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("efdm")
Kuronen, M., & Räty, M. (2026). efdm: Simulate Forest Resources with the European Forestry Dynamics Model (Version 0.2.3) [Computer software]. https://doi.org/10.32614/CRAN.package.efdm

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 efdm version 0.2.3 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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