Package: FINN Type: Package Title: Forest Informed Neural Networks Version: 0.2.0 Authors@R: c(person(given = "Yannek", family = "Käber", role = c("aut", "cre"), email = "y.kaeber@posteo.de", comment = c(ORCID = "0000-0002-7041-9849")), person(given = "Maximilian", family = "Pichler", role = "aut", email = "maximilian.pichler@biologie.uni-regensburg.de", comment = c(ORCID = "0000-0003-2252-8327"))) Maintainer: Yannek Käber Description: 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) . License: GPL (>= 3) Encoding: UTF-8 LazyData: true URL: https://github.com/FINNverse/FINN, https://finnverse.github.io/FINN/ BugReports: https://github.com/FINNverse/FINN/issues Depends: R (>= 4.1.0) LinkingTo: Rcpp Imports: abind, cli, stats, utils, data.table, coro, Rcpp, torch, ggplot2, glue Suggests: testthat (>= 3.0.0), knitr, rmarkdown RoxygenNote: 7.3.3 Roxygen: list(old_usage = FALSE, markdown = TRUE) VignetteBuilder: knitr Config/testthat/edition: 3 Repository: https://finnverse.r-universe.dev Date/Publication: 2026-09-22 12:24:15 UTC RemoteUrl: https://github.com/finnverse/finn RemoteRef: HEAD RemoteSha: 609a30c72e5936012cf2121a81981858f8f07633 NeedsCompilation: yes Packaged: 2026-09-22 15:42:50 UTC; root Author: Yannek Käber [aut, cre] (ORCID: ), Maximilian Pichler [aut] (ORCID: )