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FINN

0.1.0

Forest Informed Neural Networks

0packages depend
17downloads / year
22.4%test coverage
8/8checks pass

Overview

About
Maintained by Yannek KäberFirst published 2026-08-091 releasesCRAN page ↗GitHub ↗

A hybrid dynamic forest (gap) model (FINN) that can be configured as a fully mechanistic, process-based model, like classic forest gap models, or with its demographic processes (growth, mortality, regeneration) replaced by deep neural networks (DNNs), or any combination of the two. Provides functions to define a model and its mechanistic or empirical components, calibrate it to forest inventory data, and interpret the calibrated processes. FINN is implemented with the 'torch' package, which supplies GPU support and the automatic differentiation used to calibrate the model by stochastic gradient descent; no knowledge of 'torch' is required. The hybrid modeling approach is described in Pichler and Käber (2026) doi:10.1111/2041-210x.70347.

Install

Health

CRAN checks
8OK
Slowest check: 5.5 min · r-oldrel-macos-x86_64
Code health
Yes
Tests · ratio 0.13
22.4%
Coverage · measured lines
100%
Documentation · exports
10
Dependencies · direct
Check history
  • OK2026-08-10
    8 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 353 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
99%
Return-value docs
100%
References docs
8%

Downloads

17
CRAN downloads in the past year
Rank #24,910 · ~0/day · ~1/mo
FINN
Daily download trend is not available in this view yet.

Repository

Repository
3Stars
1Forks
7Open issues
0Open PRs
0Releases
License GPL-3.0 · Last activity 2026-08-11

Repository practices

Upstream repositoryBeta

Repository github.com/finnverse/finn is linked, but repository-practices checks have not run for it yet.

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

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • 0.1.0Latest
    2026-08-09 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-08-09
Total releases
1 / 1 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.1.0
Download size
not tracked yet
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("FINN")
Käber, Y., & Pichler, M. (2026). FINN: Forest Informed Neural Networks (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.FINN

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 FINN version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-11. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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