Unsupervised Tree Boosting for Learning Probability Distributions R package boostPM version 0.1.0 Implements the unsupervised tree boosting method for learning probability distributions introduced by Awaya and Ma (2024). Provides model fitting, density evaluation, simulation, and diagnostic methods. Software Imports: graphics, Rcpp (>= 1.0.7), stats LinkingTo: Rcpp, RcppArmadillo Suggests: testthat (>= 3.0.0), knitr (>= 1.43), rmarkdown (>= 2.20) Naoki Awaya <nawaya@waseda.jp> Comprehensive R Archive Network (CRAN) Naoki Awaya [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=boostPM/LICENSE) 2026-07-26 application/tgz https://CRAN.R-project.org/package=boostPM doi:10.32614/CRAN.package.boostPM