Package: efdm 0.2.2

efdm: Simulate Forest Resources with the European Forestry Dynamics Model

An implementation of European Forestry Dynamics Model (EFDM) and an estimation algorithm for the transition probabilities. The EFDM is a large-scale forest model that simulates the development of the forest and estimates volume of wood harvested for any given forested area. This estimate can be broken down by, for example, species, site quality, management regime and ownership category. See Packalen et al. (2015) <doi:10.2788/153990>.

Authors:Mikko Kuronen [aut, cre], Minna Räty [aut]

efdm_0.2.2.tar.gz
efdm_0.2.2.zip(r-4.7)efdm_0.2.2.zip(r-4.6)efdm_0.2.2.zip(r-4.5)
efdm_0.2.2.tgz(r-4.6-any)efdm_0.2.2.tgz(r-4.5-any)
efdm_0.2.2.tar.gz(r-4.7-any)efdm_0.2.2.tar.gz(r-4.6-any)
efdm_0.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
efdm/json (API)

# Install 'efdm' in R:
install.packages('efdm', repos = c('https://mikkoku.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mikkoku/efdm/issues

Datasets:

On CRAN:

Conda:

4.04 score 2 stars 11 scripts 303 downloads 7 exports 1 dependencies

Last updated from:7fc80bbc4c. Checks:5 ERROR, 4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64ERROR133
source / vignettesOK206
linux-release-x86_64ERROR127
macos-release-arm64ERROR119
macos-oldrel-arm64OK225
windows-develERROR116
windows-releaseERROR138
windows-oldrelOK131
wasm-releaseOK111

Exports:define_activityestimatetransprobsprior_ffprior_growrunEFDMtransprobstransprobs<-

Dependencies:data.table

Example scenarios

Rendered fromexample.Rmdusingknitr::rmarkdownon May 06 2026.

Last update: 2026-02-05
Started: 2021-03-31