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.
- Version0.1.2
- R version≥ 4.2.0
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Last release09/28/2024
Team
Alisson Silva Neimaier
Taiane Schaedler Prass
Show author detailsRolesAuthor, Thesis advisor
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