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: 0.1.0
Depends: R (≥ 4.2.0)
Published: 2024-01-16
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_0.1.0.tar.gz
Windows binaries: r-prerel: PRTree_0.1.0.zip, r-release: PRTree_0.1.0.zip, r-oldrel: PRTree_0.1.0.zip
macOS binaries: r-prerel (arm64): PRTree_0.1.0.tgz, r-release (arm64): PRTree_0.1.0.tgz, r-oldrel (arm64): PRTree_0.1.0.tgz, r-prerel (x86_64): PRTree_0.1.0.tgz, r-release (x86_64): PRTree_0.1.0.tgz

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