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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>.

Version: 0.1.2
Depends: R (≥ 4.2.0)
Published: 2024-09-28
DOI: 10.32614/CRAN.package.PRTree
Author: Alisson Silva Neimaier ORCID iD [aut, cre], Taiane Schaedler Prass ORCID iD [aut, ths]
Maintainer: Alisson Silva Neimaier <alissonneimaier at hotmail.com>
License: GPL (≥ 3)
NeedsCompilation: yes
CRAN checks: PRTree results

Documentation:

Reference manual: PRTree.pdf

Downloads:

Package source: PRTree_0.1.2.tar.gz
Windows binaries: r-devel: PRTree_0.1.2.zip, r-release: PRTree_0.1.2.zip, r-oldrel: PRTree_0.1.2.zip
macOS binaries: r-release (arm64): PRTree_0.1.2.tgz, r-oldrel (arm64): PRTree_0.1.2.tgz, r-release (x86_64): PRTree_0.1.2.tgz, r-oldrel (x86_64): PRTree_0.1.2.tgz
Old sources: PRTree archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.