Machine Learning Forest Simulator
Overview
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.
Added
- Options to control/handle the mortality of large trees.
Fixed
- Minor bug fixes and small stability improvements.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 47 (13 internal)
- Examples that run
- 92%11 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 48%
- Documented parameters
- 49%
- Return-value docs
- 96%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- not measured
- Median days to close, 50 most recently updated closed issues
- 0
- Median days to close, 50 most recently updated closed PRs
- not measured
Stars over time
Forks over time
4 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/jernejjevsenak/mlfs on 2026-10-11.
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.4.3Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 0.4.22022-04-20
- RR 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
Cite
Cite this package
Run in R for the authors' entry:
citation("MLFS")The package provides a citation file, so citation() returns the authors' own entry.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.