rpartScore
Classification Trees for Ordinal Responses
Recursive partitioning methods to build classification trees for ordinal responses within the CART framework. Trees are grown using the Generalized Gini impurity function, where the misclassification costs are given by the absolute or squared differences in scores assigned to the categories of the response. Pruning is based on the total misclassification rate or on the total misclassification cost.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0-2 |
rolling linux/jammy R-4.5 | rpartScore_1.0-2.tar.gz |
48.5 KiB |
1.0-2 |
rolling linux/noble R-4.5 | rpartScore_1.0-2.tar.gz |
48.4 KiB |
1.0-2 |
rolling source/ R- | rpartScore_1.0-2.tar.gz |
7.2 KiB |
1.0-2 |
latest linux/jammy R-4.5 | rpartScore_1.0-2.tar.gz |
48.5 KiB |
1.0-2 |
latest linux/noble R-4.5 | rpartScore_1.0-2.tar.gz |
48.4 KiB |
1.0-2 |
latest source/ R- | rpartScore_1.0-2.tar.gz |
7.2 KiB |
1.0-2 |
2026-04-26 source/ R- | rpartScore_1.0-2.tar.gz |
7.2 KiB |
1.0-2 |
2026-04-23 source/ R- | rpartScore_1.0-2.tar.gz |
7.2 KiB |
1.0-2 |
2026-04-09 windows/windows R-4.5 | rpartScore_1.0-2.zip |
51.6 KiB |
1.0-2 |
2025-04-20 source/ R- | rpartScore_1.0-2.tar.gz |
7.2 KiB |