FoRDM: Forest Many-Objective Robust Decision Making ('FoRDM')
Forest Many-Objective Robust Decision Making ('FoRDM') is a R toolkit for supporting robust forest management under deep uncertainty. It provides a forestry-focused application of Many-Objective Robust Decision Making ('MORDM') to forest simulation outputs, enabling users to evaluate robustness using regret- and 'satisficing'-based measures. 'FoRDM' identifies robust solutions, generates Pareto fronts, and offers interactive 2D, 3D, and parallel-coordinate visualizations.
| Version: | 1.0.1 |
| Imports: | dplyr (≥ 1.0.0),ggplot2 (≥ 3.3.0),magrittr (≥ 2.0.0),tidyr (≥ 1.1.0),rlang (≥ 0.4.0),tibble (≥ 3.0.0),plotly (≥ 4.10.0),emoa (≥ 0.5.0), stats |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2025-12-12 |
| DOI: | 10.32614/CRAN.package.FoRDM |
| Author: | Marc Djahangard [aut, cre], Rasoul Yousefpour [aut] |
| Maintainer: | Marc Djahangard <marc.djahangard at ife.uni-freiburg.de> |
| License: | MIT + fileLICENSE |
| NeedsCompilation: | no |
| Citation: | FoRDM citation info |
| Materials: | README,NEWS |
| CRAN checks: | FoRDM results |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=FoRDMto link to this page.