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).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | DirichletRF_0.1.0.tar.gz |
98.5 KiB |
0.1.0 |
rolling linux/noble R-4.5 | DirichletRF_0.1.0.tar.gz |
100.2 KiB |
0.1.0 |
rolling source/ R- | DirichletRF_0.1.0.tar.gz |
14.7 KiB |
0.1.0 |
latest linux/jammy R-4.5 | DirichletRF_0.1.0.tar.gz |
98.5 KiB |
0.1.0 |
latest linux/noble R-4.5 | DirichletRF_0.1.0.tar.gz |
100.2 KiB |
0.1.0 |
latest source/ R- | DirichletRF_0.1.0.tar.gz |
14.7 KiB |
0.1.0 |
2026-04-26 source/ R- | DirichletRF_0.1.0.tar.gz |
14.7 KiB |
0.1.0 |
2026-04-23 source/ R- | DirichletRF_0.1.0.tar.gz |
14.7 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | DirichletRF_0.1.0.zip |
515.8 KiB |