Package: orf 0.1.4.9000
orf: Ordered Random Forests
An implementation of the Ordered Forest estimator as developed in Lechner & Okasa (2019) <arxiv:1907.02436>. The Ordered Forest flexibly estimates the conditional probabilities of models with ordered categorical outcomes (so-called ordered choice models). Additionally to common machine learning algorithms the 'orf' package provides functions for estimating marginal effects as well as statistical inference thereof and thus provides similar output as in standard econometric models for ordered choice. The core forest algorithm relies on the fast C++ forest implementation from the 'ranger' package (Wright & Ziegler, 2017) <arxiv:1508.04409>.
Authors:
orf_0.1.4.9000.tar.gz
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orf.pdf |orf.html✨
orf/json (API)
NEWS
| # Install 'orf' in R: |
| install.packages('orf', repos = c('https://okasag.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/okasag/orf/issues
Last updated 3 years agofrom:a1fcc68279. Checks:11 ERROR. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | FAIL | Feb 05 2025 |
| R-4.5-win-x86_64 | ERROR | Feb 05 2025 |
| R-4.5-mac-x86_64 | ERROR | Feb 05 2025 |
| R-4.5-mac-aarch64 | ERROR | Feb 05 2025 |
| R-4.5-linux-x86_64 | ERROR | Feb 05 2025 |
| R-4.4-win-x86_64 | ERROR | Feb 05 2025 |
| R-4.4-mac-x86_64 | ERROR | Feb 05 2025 |
| R-4.4-mac-aarch64 | ERROR | Feb 05 2025 |
| R-4.3-win-x86_64 | ERROR | Feb 05 2025 |
| R-4.3-mac-x86_64 | ERROR | Feb 05 2025 |
| R-4.3-mac-aarch64 | ERROR | Feb 05 2025 |
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6rangerRColorBrewerRcppRcppEigenrlangscalestibbleutf8vctrsviridisLitewithrxtable
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| orf: Ordered Random Forests | orf-package |
| Marginal Effects | margins |
| Marginal Effects for the Ordered Forest | margins.orf |
| Simulated Example Dataset | odata |
| Ordered Forest Estimator | orf |
| Plot of the Ordered Forest | plot.orf |
| Prediction of the Ordered Forest | predict.orf |
| Print of the Ordered Forest Marginal Effects | print.margins.orf |
| Print of the Ordered Forest | print.orf |
| Print of the Ordered Forest Prediction | print.orf.prediction |
| Summary of the Ordered Forest Marginal Effects | summary.margins.orf |
| Summary of the Ordered Forest | summary.orf |
| Summary of the Ordered Forest Prediction | summary.orf.prediction |
