quantregForest
Quantile Regression Forests
Quantile Regression Forests is a tree-based ensemble method for estimation of conditional quantiles. It is particularly well suited for high-dimensional data. Predictor variables of mixed classes can be handled. The package is dependent on the package 'randomForest', written by Andy Liaw.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3-7.1 |
rolling linux/jammy R-4.5 | quantregForest_1.3-7.1.tar.gz |
125.9 KiB |
1.3-7.1 |
rolling linux/noble R-4.5 | quantregForest_1.3-7.1.tar.gz |
126.7 KiB |
1.3-7.1 |
rolling source/ R- | quantregForest_1.3-7.1.tar.gz |
42.5 KiB |
1.3-7.1 |
latest linux/jammy R-4.5 | quantregForest_1.3-7.1.tar.gz |
125.9 KiB |
1.3-7.1 |
latest linux/noble R-4.5 | quantregForest_1.3-7.1.tar.gz |
126.7 KiB |
1.3-7.1 |
latest source/ R- | quantregForest_1.3-7.1.tar.gz |
42.5 KiB |
1.3-7.1 |
2026-04-26 source/ R- | quantregForest_1.3-7.1.tar.gz |
42.5 KiB |
1.3-7.1 |
2026-04-23 source/ R- | quantregForest_1.3-7.1.tar.gz |
42.5 KiB |
1.3-7.1 |
2026-04-09 windows/windows R-4.5 | quantregForest_1.3-7.1.zip |
133.7 KiB |
1.3-7.1 |
2025-04-20 source/ R- | quantregForest_1.3-7.1.tar.gz |
42.5 KiB |