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" . 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" . License: GPL (>= 3) Encoding: UTF-8 NeedsCompilation: yes Roxygen: list(old_usage = TRUE, markdown = TRUE) 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 URL: https://github.com/tsprass/PRTree BugReports: https://github.com/tsprass/PRTree/issues Config/pak/sysreqs: libicu-dev Repository: https://tsprass.r-universe.dev Date/Publication: 2026-09-27 00:44:09 UTC RemoteUrl: https://github.com/tsprass/prtree RemoteRef: HEAD RemoteSha: 4c1143638ecda5422c09678b8388fb5961ff32f4 Packaged: 2026-09-27 14:47:03 UTC; root Author: Taiane Schaedler Prass [aut, ths, cre] (ORCID: ), Alisson Silva Neimaier [aut] (ORCID: ) Maintainer: Taiane Schaedler Prass