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.
| Version: |
1.0-2 |
| Depends: |
R (≥ 4.2.0), rpart, stats, MASS |
| Published: |
2022-05-25 |
| Author: |
Giuliano Galimberti, Gabriele Soffritti, Matteo Di Maso |
| Maintainer: |
Giuliano Galimberti <giuliano.galimberti at unibo.it> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| Citation: |
rpartScore citation info |
| CRAN checks: |
rpartScore results |
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