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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 |
| Reference manual: | rpartScore.pdf |
| Package source: | rpartScore_1.0-2.tar.gz |
| Windows binaries: | r-devel: rpartScore_1.0-2.zip, r-release: rpartScore_1.0-2.zip, r-oldrel: rpartScore_1.0-2.zip |
| macOS binaries: | r-release (arm64): rpartScore_1.0-2.tgz, r-oldrel (arm64): rpartScore_1.0-2.tgz, r-release (x86_64): rpartScore_1.0-2.tgz, r-oldrel (x86_64): rpartScore_1.0-2.tgz |
| Old sources: | rpartScore archive |
| Reverse imports: | pheble |
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