Package: PRTree 0.1.2
PRTree: Probabilistic Regression Trees
Probabilistic Regression Trees (PRTree). Functions for fitting and predicting PRTree models with some adaptations to handle missing values. The main calculations are performed in 'FORTRAN', resulting in highly efficient algorithms. This package's implementation is based on the PRTree methodology described in Alkhoury, S.; Devijver, E.; Clausel, M.; Tami, M.; Gaussier, E.; Oppenheim, G. (2020) - "Smooth And Consistent Probabilistic Regression Trees" <https://proceedings.neurips.cc/paper_files/paper/2020/file/8289889263db4a40463e3f358bb7c7a1-Paper.pdf>.
Authors:
PRTree_0.1.2.tar.gz
PRTree_0.1.2.zip(r-4.5)PRTree_0.1.2.zip(r-4.4)PRTree_0.1.2.zip(r-4.3)
PRTree_0.1.2.tgz(r-4.4-x86_64)PRTree_0.1.2.tgz(r-4.4-arm64)PRTree_0.1.2.tgz(r-4.3-x86_64)PRTree_0.1.2.tgz(r-4.3-arm64)
PRTree_0.1.2.tar.gz(r-4.5-noble)PRTree_0.1.2.tar.gz(r-4.4-noble)
PRTree.pdf |PRTree.html✨
PRTree/json (API)
| # Install 'PRTree' in R: |
| install.packages('PRTree', repos = c('https://neimaier.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 months agofrom:74d9cae411. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 29 2024 |
| R-4.5-win-x86_64 | OK | Oct 29 2024 |
| R-4.5-linux-x86_64 | OK | Oct 29 2024 |
| R-4.4-win-x86_64 | OK | Oct 29 2024 |
| R-4.4-mac-x86_64 | OK | Oct 29 2024 |
| R-4.4-mac-aarch64 | OK | Oct 29 2024 |
| R-4.3-win-x86_64 | OK | Oct 29 2024 |
| R-4.3-mac-x86_64 | OK | Oct 29 2024 |
| R-4.3-mac-aarch64 | OK | Oct 29 2024 |
Exports:pr_tree
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Probabilistic Regression Trees (PRTrees) | pr_tree |
| Predict method for PRTree | predict.prtree |
