Integrating morphological modeling with machine learning to support structured decision-making (e.g., in management and consulting). The package enumerates a morphospace of feasible configurations and uses random forests to estimate class probabilities over that space, bridging deductive model exploration with empirical validation. It includes utilities for factorizing inputs, model training, morphospace construction, and an interactive 'shiny' app for scenario exploration.
| Version: | 0.1.1 |
| Depends: | R (≥ 4.3.0) |
| Imports: | bslib (≥ 0.9.0), caret (≥ 6.0.94), dplyr (≥ 1.1.4), ggplot2 (≥ 3.5.1), htmltools (≥ 0.5.8.1), jsonlite (≥ 1.8.8), magrittr, openxlsx (≥ 4.2.5.2), plotly (≥ 4.10.4), randomForest (≥ 4.7.1.1), reactable (≥ 0.4.4), shiny (≥ 1.10.0), shinyFiles (≥ 0.9.3), shinyjs (≥ 2.1.0), stats (≥ 4.3.0), tidyr (≥ 1.3.1), utils (≥ 4.3.0) |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2025-11-05 |
| DOI: | 10.32614/CRAN.package.MLmorph |
| Author: | Oskar Kosch |
| Maintainer: | Oskar Kosch <contact at oskarkosch.com> |
| BugReports: | https://github.com/theogrost/MLmorph/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/theogrost/MLmorph |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README, NEWS |
| CRAN checks: | MLmorph results |
| Reference manual: | MLmorph.html , MLmorph.pdf |
| Package source: | MLmorph_0.1.1.tar.gz |
| Windows binaries: | r-devel: MLmorph_0.1.0.zip, r-release: MLmorph_0.1.0.zip, r-oldrel: MLmorph_0.1.0.zip |
| macOS binaries: | r-release (arm64): MLmorph_0.1.1.tgz, r-oldrel (arm64): MLmorph_0.1.0.tgz, r-release (x86_64): MLmorph_0.1.0.tgz, r-oldrel (x86_64): MLmorph_0.1.0.tgz |
| Old sources: | MLmorph archive |
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