Package: PRTree
Type: Package
Date: 2026-07-13
Title: Probabilistic Regression Trees
Version: 1.1.0
Authors@R: c(
    person("Taiane Schaedler", "Prass",
           email = "taianeprass@gmail.com",
           role = c("aut", "ths", "cre"),
           comment = c(ORCID = "0000-0003-3136-909X")),
    person("Alisson Silva", "Neimaier",
           email = "alissonneimaier@hotmail.com",
           role = c("aut"),
           comment = c(ORCID = "0000-0002-7524-0776"))
  )
Depends: R (>= 4.3.0)
Suggests: ggplot2
Imports: tidyr (>= 1.3.0), gridExtra (>= 2.3), stats, grDevices, utils,
        tidyselect, graphics, rlang
Description: Implementation of Probabilistic Regression Trees (PRTree),
        providing functions for model fitting and prediction, with
        specific adaptations to handle missing values. The main
        computations are implemented in 'Fortran' for high efficiency.
        The package is based on the PRTree methodology described in
        Alkhoury et al. (2020), "Smooth and Consistent Probabilistic
        Regression Trees"
        <https://proceedings.neurips.cc/paper_files/paper/2020/file/8289889263db4a40463e3f358bb7c7a1-Paper.pdf>.
        Details on the treatment of missing data and implementation
        aspects are presented in Prass, T.S.; Neimaier, A.S.; Pumi, G.
        (2025), "Handling Missing Data in Probabilistic Regression
        Trees: Methods and Implementation in R"
        <doi:10.48550/arXiv.2510.03634>.
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: yes
Collate: 'prtree.R' 'prtree_control.R' 'prtree_control_utils.R'
        'prtree_cv.R' 'prtree_cv_methods.R' 'prtree_rules.R'
        'prtree_defaults.R' 'prtree_grid_expansion.R' 'prtree_main.R'
        'prtree_main_methods.R' 'prtree_messages.R' 'prtree_predict.R'
        'prtree_split.R' 'prtree_validation.R'
Config/roxygen2/version: 8.0.0
RoxygenNote: 7.3.3
Packaged: 2026-10-06 12:24:51 UTC; root
Author: Taiane Schaedler Prass [aut, ths, cre] (ORCID:
        <https://orcid.org/0000-0003-3136-909X>), Alisson Silva
        Neimaier [aut] (ORCID: <https://orcid.org/0000-0002-7524-0776>)
Maintainer: Taiane Schaedler Prass <taianeprass@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-07-13 20:30:10 UTC
RemoteUrl: https://github.com/cran/PRTree
RemoteRef: HEAD
RemoteSha: f22feb5343606b54f56b456871a30d707ae322e3