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:
efdm_0.2.1.tar.gz
efdm_0.2.1.zip(r-4.5)efdm_0.2.1.zip(r-4.4)efdm_0.2.1.zip(r-4.3)
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')) |
Bug tracker:https://github.com/mikkoku/efdm/issues
- MetsaKasvVyoh - Finnish bio-geographical regions
- example - Example dataset.
Last updated 1 years agofrom:b4234ae88e. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 09 2024 |
| R-4.5-win | OK | Nov 09 2024 |
| R-4.5-linux | OK | Nov 09 2024 |
| R-4.4-win | OK | Nov 09 2024 |
| R-4.4-mac | OK | Nov 09 2024 |
| R-4.3-win | OK | Nov 09 2024 |
| R-4.3-mac | OK | Nov 09 2024 |
Exports:define_activityestimatetransprobsprior_ffprior_growrunEFDMtransprobstransprobs<-
Dependencies:data.table
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Define an activity | define_activity |
| Estimate Transition Probabilities from Pairdata | estimatetransprobs |
| Example dataset. | example |
| Finnish bio-geographical regions | MetsaKasvVyoh |
| Priors for 'estimatetransprobs' | prior_ff prior_grow |
| Run European Forestry Dynamics Model | runEFDM |
| Transition probabilities of an activity | transprobs transprobs<- |