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PRTree  

Probabilistic Regression Trees
View on CRAN: Click here


Download and install PRTree package within the R console
Install from CRAN:
install.packages("PRTree")

Install from Github:
library("remotes")
install_github("cran/PRTree")

Install by package version:
library("remotes")
install_version("PRTree", "1.1.0")



Attach the package and use:
library("PRTree")
Maintained by
Alisson Silva Neimaier
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-01-16
Latest Update: 2025-05-22
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" .
How to cite:
Alisson Silva Neimaier (2024). PRTree: Probabilistic Regression Trees. R package version 1.1.0, https://cran.r-project.org/web/packages/PRTree. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-13 22:30), 0.1.0 (2024-01-16 14:40), 0.1.1 (2024-09-15 02:20), 0.1.2 (2024-09-29 01:10), 0.1.3 (2025-05-22 22:00), 1.0.0 (2025-10-10 01:10), 1.0.1 (2025-10-18 07:10), 1.0.2 (2025-10-26 13:40), 1.0.3 (2026-02-18 23:30)
Other packages that cited PRTree R package
View PRTree citation profile
Other R packages that PRTree depends, imports, suggests or enhances
Complete documentation for PRTree
Functions, R codes and Examples using the PRTree R package
Full PRTree package functions and examples
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