Package: PRTree
Type: Package
Date: 2024-09-14
Title: Probabilistic Regression Trees
Version: 0.1.2
Authors@R: c(person(c("Alisson", "Silva"),"Neimaier",
                    email = "alissonneimaier@hotmail.com",   
                    role = c("aut","cre"), 
                    comment = c(ORCID="0000-0002-7524-0776")),
						person(c("Taiane", "Schaedler"),"Prass",
                     email = "taianeprass@gmail.com", 
                     role = c("aut", "ths"),  
                     comment = c(ORCID="0000-0003-3136-909X")))	
Depends: R (>= 4.2.0)
Description: 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>.
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: yes
RoxygenNote: 7.3.1
Packaged: 2024-09-28 14:31:20 UTC; Alisson Neimaier
Author: Alisson Silva Neimaier [aut, cre]
    (<https://orcid.org/0000-0002-7524-0776>),
  Taiane Schaedler Prass [aut, ths]
    (<https://orcid.org/0000-0003-3136-909X>)
Maintainer: Alisson Silva Neimaier <alissonneimaier@hotmail.com>
Repository: CRAN
Date/Publication: 2024-09-28 23:10:08 UTC
Built: R 4.4.2; aarch64-apple-darwin24.3.0; 2025-02-25 09:39:09 UTC; unix
