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MLFS

0.4.3

Machine Learning Forest Simulator

0packages depend
6.2Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Jernej JevsenakFirst published 2022-04-202 releasesCRAN page ↗GitHub ↗

Climate-sensitive, single-tree forest simulator based on data-driven machine learning. It simulates the main forest processes— radial growth, height growth, mortality, crown recession, regeneration, and harvesting—so users can assess stand development under climate and management scenarios. The height model is described by Skudnik and Jevšenak (2022) doi:10.1016/j.foreco.2022.120017, the basal-area increment model by Jevšenak and Skudnik (2021) doi:10.1016/j.foreco.2020.118601, and an overview of the MLFS package, workflow, and applications is provided by Jevšenak, Arnič, Krajnc, and Skudnik (2023), Ecological Informatics doi:10.1016/j.ecoinf.2023.102115.

Install

Health

CRAN checks
13OK
Slowest check: 2.9 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
9
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

Documentation
READMENoVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
92%
Documented parameters
49%
Return-value docs
96%
References docs
0%

Downloads

6.2K
CRAN downloads in the past year
Rank #7,179 · ~17/day · ~520/mo
Daily download trend is not available in this view yet.
26630 days
1.2K90 days
6.2K1 year
Compare downloads with other packages →
Also on130 r2u17 autocran

Repository

Repository
2Stars
1Forks
0Open issues
0Open PRs
0Releases
141Commits
1Contributors
141 commits · Last activity 2025-09-01

Stars over time

2024-11-05 · 22026-07-07 · 2

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/jernejjevsenak/mlfs on 2026-08-23.

CRAN release process (2)
cran-comments.mdrevdep/
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.4
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (1)
Author, Maintainer, Copyright holder
Copyright holders (1)
Author, Maintainer, Copyright holder
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 0.4.3Latest
    2025-09-01 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.4.2
    2022-04-20
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2022-04-20
Total releases
2 / 4 yrs
License
GPL-3 OSI
Minimum R
≥ 3.4
Bundled data
1.9 MB / 22 files
Download size
1.8 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MLFS")
Jevsenak, J. (2025). MLFS: Machine Learning Forest Simulator (Version 0.4.3) [Computer software]. https://doi.org/10.32614/CRAN.package.MLFS

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for MLFS version 0.4.3 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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