rpartScore: Classification trees for ordinal responses. This package contains functions that allow to build classification trees for ordinal responses within the CART framework. The 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.
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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Leha, Andreas: Statistical methods to enhance clinical prediction with high-dimensional data and ordinal response (2015)
- Shen, Yuanyuan; Liao, Katherine P.; Cai, Tianxi: Sparse kernel machine regression for ordinal outcomes (2015)
- Leha, Andreas; Jung, Klaus; Beißbarth, Tim: Utilization of ordinal response structures in classification with high-dimensional expression data (2013)