Package: rpartScore 1.0-2
Giuliano Galimberti
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.
Authors:
rpartScore_1.0-2.tar.gz
rpartScore_1.0-2.tar.gz(r-4.5-noble)rpartScore_1.0-2.tar.gz(r-4.4-noble)
rpartScore_1.0-2.tgz(r-4.4-emscripten)rpartScore_1.0-2.tgz(r-4.3-emscripten)
rpartScore.pdf |rpartScore.html✨
rpartScore/json (API)
| # Install 'rpartScore' in R: |
| install.packages('rpartScore', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:0e2d300f8b. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 23 2024 |
| R-4.5-linux | OK | Oct 23 2024 |
Exports:evalMedianevalModeinitScorerpartScoresplitAbssplitQuad
