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'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • fortran– Runtime library for GNU Fortran applications

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

fortranopenblas

1.30 score 474 downloads 1 exports 0 dependencies

Last updated 4 months agofrom:74d9cae411. Checks:2 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKJan 27 2025
R-4.5-linux-x86_64OKJan 27 2025

Exports:pr_tree

Dependencies: