Package: PRTree 0.1.2

Alisson Silva Neimaier

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:Alisson Silva Neimaier [aut, cre], Taiane Schaedler Prass [aut, ths]

PRTree_0.1.2.tar.gz
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://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • fortran– Runtime library for GNU Fortran applications

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

fortranopenblas

1.30 score 1 scripts 579 downloads 1 exports 0 dependencies

Last updated 6 months agofrom:74d9cae411. Checks:2 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKFeb 26 2025
R-4.5-linux-x86_64OKFeb 26 2025

Exports:pr_tree

Dependencies: