Package: PRTree 1.0.3
Taiane Schaedler Prass
PRTree: Probabilistic Regression Trees
Implementation of Probabilistic Regression Trees (PRTree), providing functions for model fitting and prediction, with specific adaptations to handle missing values. The main computations are implemented in 'Fortran' for high efficiency. The package is based on the PRTree methodology described in Alkhoury et al. (2020), "Smooth and Consistent Probabilistic Regression Trees" <https://proceedings.neurips.cc/paper_files/paper/2020/file/8289889263db4a40463e3f358bb7c7a1-Paper.pdf>. Details on the treatment of missing data and implementation aspects are presented in Prass, T.S.; Neimaier, A.S.; Pumi, G. (2025), "Handling Missing Data in Probabilistic Regression Trees: Methods and Implementation in R" <doi:10.48550/arXiv.2510.03634>.
Authors:
PRTree_1.0.3.tar.gz
PRTree_1.0.3.tar.gz(r-4.7-arm64)PRTree_1.0.3.tar.gz(r-4.7-x86_64)PRTree_1.0.3.tar.gz(r-4.6-arm64)PRTree_1.0.3.tar.gz(r-4.6-x86_64)
PRTree_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
PRTree/json (API)
| # Install 'PRTree' in R: |
| install.packages('PRTree', repos = c('https://cran.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 from:c89de6e938. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 103 | ||
| linux-devel-x86_64 | OK | 94 | ||
| source / vignettes | OK | 170 | ||
| linux-release-arm64 | OK | 91 | ||
| linux-release-x86_64 | OK | 95 | ||
| wasm-release | OK | 103 |
Exports:pr_treepr_tree_control
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Probabilistic Regression Trees (PRTrees) | pr_tree |
| Set Control Parameters for PRTree | pr_tree_control |
| Predict from a Probabilistic Regression Tree Model | predict.prtree |
