R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
FINN
View on CRAN: Click
here
Download and install FINN package within the R console
Install from CRAN:
install.packages("FINN")
Install from Github:
library("remotes")
install_github("cran/FINN") Install by package version:
library("remotes")
install_version("FINN", "0.1.0") Attach the package and use:
library("FINN")
Maintained by
Yannek Käber
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-09
Latest Update: 2026-08-09
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) <doi:10.1111/2041-210x.70347>.
How to cite:
Yannek Käber (2026). FINN: Forest Informed Neural Networks. R package version 0.1.0, https://cran.r-project.org/web/packages/FINN. Accessed 24 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited FINN R package
View FINN citation profile
Other R packages that FINN depends,
imports, suggests or enhances
Complete documentation for FINN
Functions, R codes and Examples using
the FINN R package
Full FINN package
functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
FDRsampsize
Defines a collection of functions to compute average power and sample size for studies that use the ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Stan Pounds (view profile)
gemlog
Reads data files from the 'Gem infrasound logger' for analysis and converts to segy format (which is ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jake Anderson (view profile)
forecastHybrid
Convenient functions for ensemble forecasts in R combining
approaches from the 'forecast' package. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: David Shaub (view profile)
givitiR
Functions to assess the calibration of logistic regression models with the GiViTI (Gruppo Italiano p ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Giovanni Nattino (view profile)
magicfor
Magic functions to obtain results from for loops. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Koji Makiyama (view profile)
quickcode
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
29,080
R Packages
247,686
Dependencies
77,281
Author Associations
29,081
Publication Badges
