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: |
0.1.1 |
| Depends: |
R (≥ 4.2.0) |
| Published: |
2024-09-15 |
| DOI: |
10.32614/CRAN.package.PRTree |
| Author: |
Alisson Silva Neimaier
 [aut, cre],
Taiane Schaedler Prass
[aut, ths] |
| Maintainer: |
Alisson Silva Neimaier <alissonneimaier at hotmail.com> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
yes |
| CRAN checks: |
PRTree results [issues need fixing before 2024-09-30] |
Documentation:
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