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.
| Version: | 0.1.0 |
| Imports: | graphics, Rcpp (≥ 1.0.7), stats |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat (≥ 3.0.0), knitr (≥ 1.43), rmarkdown (≥ 2.20) |
| Published: | 2026-07-26 |
| DOI: | 10.32614/CRAN.package.boostPM (may not be active yet) |
| Author: | Naoki Awaya [aut, cre] |
| Maintainer: | Naoki Awaya <nawaya at waseda.jp> |
| BugReports: | https://github.com/nawaya040/boostPM-cran/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/nawaya040/boostPM-cran |
| NeedsCompilation: | yes |
| Citation: | boostPM citation info |
| Materials: | README, NEWS |
| CRAN checks: | boostPM results |
| Reference manual: | boostPM.html , boostPM.pdf |
| Vignettes: |
Introduction to boostPM (source, R code) |
| Package source: | boostPM_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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