Package: efdm 0.2.1

Mikko Kuronen

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_0.2.1.tar.gz
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efdm_0.2.1.tgz(r-4.4-any)efdm_0.2.1.tgz(r-4.3-any)
efdm_0.2.1.tar.gz(r-4.5-noble)efdm_0.2.1.tar.gz(r-4.4-noble)
efdm_0.2.1.tgz(r-4.4-emscripten)efdm_0.2.1.tgz(r-4.3-emscripten)
efdm.pdf |efdm.html
efdm/json (API)

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

Peer review:

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

Datasets:

On CRAN:

7 exports 0.63 score 1 dependencies 12 scripts 258 downloads

Last updated 1 years agofrom:b4234ae88e. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 10 2024
R-4.5-winOKSep 10 2024
R-4.5-linuxOKSep 10 2024
R-4.4-winOKSep 10 2024
R-4.4-macOKSep 10 2024
R-4.3-winOKSep 10 2024
R-4.3-macOKSep 10 2024

Exports:define_activityestimatetransprobsprior_ffprior_growrunEFDMtransprobstransprobs<-

Dependencies:data.table

Example scenarios

Rendered fromexample.Rmdusingknitr::rmarkdownon Sep 10 2024.

Last update: 2023-08-17
Started: 2021-03-31