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:	1.0.0
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:	2025-12-03
DOI:	10.32614/CRAN.package.FoRDM (may not be active yet)
Author:	Marc Djahangard [aut, cre], Rasoul Yousefpour [aut]
Maintainer:	Marc Djahangard <marc.djahangard at ife.uni-freiburg.de>
License:	MIT + file LICENSE
NeedsCompilation:	no
Citation:	FoRDM citation info
Materials:	README
CRAN checks:	FoRDM results

Documentation:

Reference manual:

FoRDM.html , FoRDM.pdf

Downloads:

Package source:	FoRDM_1.0.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): FoRDM_1.0.0.tgz, r-oldrel (arm64): FoRDM_1.0.0.tgz, r-release (x86_64): FoRDM_1.0.0.tgz, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=FoRDM to link to this page.