boostPM
Unsupervised Tree Boosting for Learning Probability Distributions
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | boostPM_0.1.0.tar.gz |
264.7 KiB |
0.1.0 |
rolling linux/noble R-4.5 | boostPM_0.1.0.tar.gz |
267.3 KiB |
0.1.0 |
rolling source/ R- | boostPM_0.1.0.tar.gz |
142.8 KiB |
0.1.0 |
latest linux/jammy R-4.5 | boostPM_0.1.0.tar.gz |
264.7 KiB |
0.1.0 |
latest linux/noble R-4.5 | boostPM_0.1.0.tar.gz |
267.3 KiB |
0.1.0 |
latest source/ R- | boostPM_0.1.0.tar.gz |
142.8 KiB |
0.1.0 |
2026-04-23 source/ R- | boostPM_0.1.0.tar.gz |
0 B |