Package: DirichletRF 0.1.0
Khaled Masoumifard
DirichletRF: "Dirichlet Random Forest"
Implementation of the Dirichlet Random Forest algorithm for compositional response data. Supports maximum likelihood estimation ('MLE') and method-of-moments ('MOM') parameter estimation for the Dirichlet distribution. Provides two prediction strategies; averaging-based predictions (average of responses within terminal nodes) and parameter-based predictions (expected value derived from the estimated Dirichlet parameters within terminal nodes). For more details see Masoumifard, van der Westhuizen, and Gardner-Lubbe (2026, ISBN:9781032903910).
Authors:
DirichletRF_0.1.0.tar.gz
DirichletRF_0.1.0.tar.gz(r-4.7-arm64)DirichletRF_0.1.0.tar.gz(r-4.7-x86_64)DirichletRF_0.1.0.tar.gz(r-4.6-arm64)DirichletRF_0.1.0.tar.gz(r-4.6-x86_64)
DirichletRF_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
DirichletRF/json (API)
| # Install 'DirichletRF' in R: |
| install.packages('DirichletRF', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:1a4a8d32ca. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 105 | ||
| linux-devel-x86_64 | OK | 110 | ||
| source / vignettes | OK | 175 | ||
| linux-release-arm64 | OK | 107 | ||
| linux-release-x86_64 | OK | 121 | ||
| wasm-release | OK | 107 |
Exports:DirichletRF
Dependencies:Rcpp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| DirichletRF: Dirichlet Random Forest for Compositional Data | DirichletRF-package |
| Build a Dirichlet Random Forest for Compositional Responses | DirichletRF |
| Predict with a Dirichlet Forest | predict.dirichlet_forest |
| Custom Print Method for dirichlet_forest Objects | print.dirichlet_forest |
