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

1.48 score 1 scripts 509 downloads 1 exports 0 dependencies

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

TargetResultDate
Doc / VignettesOKNov 28 2024
R-4.5-linux-x86_64OKNov 28 2024

Exports:pr_tree

Dependencies: